Mercurial > repos > bgruening > numeric_clustering
annotate numeric_clustering.xml @ 1:d645cdee08ed draft
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/numeric_clustering commit ac9beb7e9c83b0ae811b304eb3085a4b0930f5a0-dirty
author | bgruening |
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date | Fri, 01 Jan 2016 10:42:52 -0500 |
parents | 42a2825313e9 |
children | 1d465f2ebfad |
rev | line source |
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0
42a2825313e9
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/numeric_clustering commit ac9beb7e9c83b0ae811b304eb3085a4b0930f5a0
bgruening
parents:
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1 <tool id="numeric_clustering" name="Numeric Clustering" version="@VERSION@"> |
42a2825313e9
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/numeric_clustering commit ac9beb7e9c83b0ae811b304eb3085a4b0930f5a0
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2 <description></description> |
42a2825313e9
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/numeric_clustering commit ac9beb7e9c83b0ae811b304eb3085a4b0930f5a0
bgruening
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3 <requirements> |
42a2825313e9
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/numeric_clustering commit ac9beb7e9c83b0ae811b304eb3085a4b0930f5a0
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4 <requirement type="package" version="2.3.0">anaconda</requirement> |
42a2825313e9
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/numeric_clustering commit ac9beb7e9c83b0ae811b304eb3085a4b0930f5a0
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parents:
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5 </requirements> |
42a2825313e9
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/numeric_clustering commit ac9beb7e9c83b0ae811b304eb3085a4b0930f5a0
bgruening
parents:
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6 <stdio> |
42a2825313e9
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/numeric_clustering commit ac9beb7e9c83b0ae811b304eb3085a4b0930f5a0
bgruening
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7 <exit_code level="fatal" range="1:"/> |
42a2825313e9
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/numeric_clustering commit ac9beb7e9c83b0ae811b304eb3085a4b0930f5a0
bgruening
parents:
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8 </stdio> |
42a2825313e9
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/numeric_clustering commit ac9beb7e9c83b0ae811b304eb3085a4b0930f5a0
bgruening
parents:
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9 <macros> |
42a2825313e9
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/numeric_clustering commit ac9beb7e9c83b0ae811b304eb3085a4b0930f5a0
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10 <token name="@VERSION@">0.9</token> |
42a2825313e9
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/numeric_clustering commit ac9beb7e9c83b0ae811b304eb3085a4b0930f5a0
bgruening
parents:
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11 <macro name="n_clusters"> |
42a2825313e9
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/numeric_clustering commit ac9beb7e9c83b0ae811b304eb3085a4b0930f5a0
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12 <param name="n_clusters" type="integer" optional="true" value="8" label="Number of clusters" |
42a2825313e9
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/numeric_clustering commit ac9beb7e9c83b0ae811b304eb3085a4b0930f5a0
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13 help="default value is 8 (--n_clusters)"/> |
42a2825313e9
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/numeric_clustering commit ac9beb7e9c83b0ae811b304eb3085a4b0930f5a0
bgruening
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14 </macro> |
42a2825313e9
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/numeric_clustering commit ac9beb7e9c83b0ae811b304eb3085a4b0930f5a0
bgruening
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15 <macro name="n_init"> |
42a2825313e9
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/numeric_clustering commit ac9beb7e9c83b0ae811b304eb3085a4b0930f5a0
bgruening
parents:
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16 <param name="n_init" type="integer" optional="true" value="" label="Number of runs with different centroid seeds"/> |
42a2825313e9
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/numeric_clustering commit ac9beb7e9c83b0ae811b304eb3085a4b0930f5a0
bgruening
parents:
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17 </macro> |
42a2825313e9
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/numeric_clustering commit ac9beb7e9c83b0ae811b304eb3085a4b0930f5a0
bgruening
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18 <macro name="max_iter"> |
42a2825313e9
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/numeric_clustering commit ac9beb7e9c83b0ae811b304eb3085a4b0930f5a0
bgruening
parents:
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19 <param name="max_iter" type="integer" optional="true" value="" label="Maximum number of iterations per single run"/> |
42a2825313e9
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/numeric_clustering commit ac9beb7e9c83b0ae811b304eb3085a4b0930f5a0
bgruening
parents:
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20 </macro> |
42a2825313e9
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/numeric_clustering commit ac9beb7e9c83b0ae811b304eb3085a4b0930f5a0
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parents:
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21 <macro name="random_state"> |
42a2825313e9
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/numeric_clustering commit ac9beb7e9c83b0ae811b304eb3085a4b0930f5a0
bgruening
parents:
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22 <param name="random_state" type="integer" optional="true" value="" label="Initialize centers"/> |
42a2825313e9
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/numeric_clustering commit ac9beb7e9c83b0ae811b304eb3085a4b0930f5a0
bgruening
parents:
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23 </macro> |
42a2825313e9
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/numeric_clustering commit ac9beb7e9c83b0ae811b304eb3085a4b0930f5a0
bgruening
parents:
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24 <macro name="affinity"> |
42a2825313e9
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/numeric_clustering commit ac9beb7e9c83b0ae811b304eb3085a4b0930f5a0
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25 <param name="affinity" type="text" optional="true" value="" label="Affinity"/> |
42a2825313e9
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/numeric_clustering commit ac9beb7e9c83b0ae811b304eb3085a4b0930f5a0
bgruening
parents:
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26 </macro> |
42a2825313e9
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/numeric_clustering commit ac9beb7e9c83b0ae811b304eb3085a4b0930f5a0
bgruening
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27 <macro name="tol"> |
42a2825313e9
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/numeric_clustering commit ac9beb7e9c83b0ae811b304eb3085a4b0930f5a0
bgruening
parents:
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28 <param name="tol" type="float" optional="true" value="" label="Relative tolerance"/> |
42a2825313e9
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/numeric_clustering commit ac9beb7e9c83b0ae811b304eb3085a4b0930f5a0
bgruening
parents:
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29 </macro> |
42a2825313e9
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/numeric_clustering commit ac9beb7e9c83b0ae811b304eb3085a4b0930f5a0
bgruening
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30 <macro name="init"> |
42a2825313e9
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/numeric_clustering commit ac9beb7e9c83b0ae811b304eb3085a4b0930f5a0
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31 <param name="init" type="select" label="Select initialization method"> |
42a2825313e9
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/numeric_clustering commit ac9beb7e9c83b0ae811b304eb3085a4b0930f5a0
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32 <option value="k-means++">k-means++</option> |
42a2825313e9
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/numeric_clustering commit ac9beb7e9c83b0ae811b304eb3085a4b0930f5a0
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33 <option value="random">random</option> |
42a2825313e9
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/numeric_clustering commit ac9beb7e9c83b0ae811b304eb3085a4b0930f5a0
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34 </param> |
42a2825313e9
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/numeric_clustering commit ac9beb7e9c83b0ae811b304eb3085a4b0930f5a0
bgruening
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35 </macro> |
42a2825313e9
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/numeric_clustering commit ac9beb7e9c83b0ae811b304eb3085a4b0930f5a0
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36 </macros> |
42a2825313e9
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/numeric_clustering commit ac9beb7e9c83b0ae811b304eb3085a4b0930f5a0
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37 <version_command>echo "@VERSION@"</version_command> |
42a2825313e9
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/numeric_clustering commit ac9beb7e9c83b0ae811b304eb3085a4b0930f5a0
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38 <command><![CDATA[ |
42a2825313e9
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/numeric_clustering commit ac9beb7e9c83b0ae811b304eb3085a4b0930f5a0
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39 #import json |
42a2825313e9
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/numeric_clustering commit ac9beb7e9c83b0ae811b304eb3085a4b0930f5a0
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40 #set $params = dict() |
42a2825313e9
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/numeric_clustering commit ac9beb7e9c83b0ae811b304eb3085a4b0930f5a0
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41 #for $key, $value in $algorithm_options.items(): |
42a2825313e9
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/numeric_clustering commit ac9beb7e9c83b0ae811b304eb3085a4b0930f5a0
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42 #if not $key.startswith('__') and $key.strip() != 'selected_algorithm' and str($value).strip(): |
42a2825313e9
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/numeric_clustering commit ac9beb7e9c83b0ae811b304eb3085a4b0930f5a0
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43 #if str($value).strip() == 'false': |
42a2825313e9
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/numeric_clustering commit ac9beb7e9c83b0ae811b304eb3085a4b0930f5a0
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44 #set $value = False |
42a2825313e9
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/numeric_clustering commit ac9beb7e9c83b0ae811b304eb3085a4b0930f5a0
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45 #elif str($value).strip() == 'true': |
42a2825313e9
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/numeric_clustering commit ac9beb7e9c83b0ae811b304eb3085a4b0930f5a0
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46 #set $value = True |
42a2825313e9
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/numeric_clustering commit ac9beb7e9c83b0ae811b304eb3085a4b0930f5a0
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47 #else: |
42a2825313e9
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/numeric_clustering commit ac9beb7e9c83b0ae811b304eb3085a4b0930f5a0
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48 #try: |
42a2825313e9
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/numeric_clustering commit ac9beb7e9c83b0ae811b304eb3085a4b0930f5a0
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49 #set $val = float($value) |
42a2825313e9
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/numeric_clustering commit ac9beb7e9c83b0ae811b304eb3085a4b0930f5a0
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50 #try: |
42a2825313e9
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/numeric_clustering commit ac9beb7e9c83b0ae811b304eb3085a4b0930f5a0
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51 #set $value = int($value) |
42a2825313e9
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/numeric_clustering commit ac9beb7e9c83b0ae811b304eb3085a4b0930f5a0
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52 #except: |
42a2825313e9
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/numeric_clustering commit ac9beb7e9c83b0ae811b304eb3085a4b0930f5a0
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53 #set $value = float($value) |
42a2825313e9
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/numeric_clustering commit ac9beb7e9c83b0ae811b304eb3085a4b0930f5a0
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54 #end try |
42a2825313e9
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/numeric_clustering commit ac9beb7e9c83b0ae811b304eb3085a4b0930f5a0
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55 #except: |
42a2825313e9
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/numeric_clustering commit ac9beb7e9c83b0ae811b304eb3085a4b0930f5a0
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56 #set $value = str($value) |
42a2825313e9
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/numeric_clustering commit ac9beb7e9c83b0ae811b304eb3085a4b0930f5a0
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57 #end try |
42a2825313e9
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/numeric_clustering commit ac9beb7e9c83b0ae811b304eb3085a4b0930f5a0
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58 #end if |
42a2825313e9
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/numeric_clustering commit ac9beb7e9c83b0ae811b304eb3085a4b0930f5a0
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59 $params.update({str($key): $value}) |
42a2825313e9
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/numeric_clustering commit ac9beb7e9c83b0ae811b304eb3085a4b0930f5a0
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60 #end if |
42a2825313e9
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/numeric_clustering commit ac9beb7e9c83b0ae811b304eb3085a4b0930f5a0
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61 #end for |
42a2825313e9
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/numeric_clustering commit ac9beb7e9c83b0ae811b304eb3085a4b0930f5a0
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62 #set $json_string = json.dumps( $params ) |
42a2825313e9
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/numeric_clustering commit ac9beb7e9c83b0ae811b304eb3085a4b0930f5a0
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63 |
42a2825313e9
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/numeric_clustering commit ac9beb7e9c83b0ae811b304eb3085a4b0930f5a0
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64 python "$cluster_script" '$json_string' |
42a2825313e9
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/numeric_clustering commit ac9beb7e9c83b0ae811b304eb3085a4b0930f5a0
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65 ]]> |
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planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/numeric_clustering commit ac9beb7e9c83b0ae811b304eb3085a4b0930f5a0
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66 </command> |
42a2825313e9
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/numeric_clustering commit ac9beb7e9c83b0ae811b304eb3085a4b0930f5a0
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67 <configfiles> |
42a2825313e9
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/numeric_clustering commit ac9beb7e9c83b0ae811b304eb3085a4b0930f5a0
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68 <configfile name="cluster_script"> |
42a2825313e9
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/numeric_clustering commit ac9beb7e9c83b0ae811b304eb3085a4b0930f5a0
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69 <![CDATA[#!/usr/bin/env python |
42a2825313e9
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/numeric_clustering commit ac9beb7e9c83b0ae811b304eb3085a4b0930f5a0
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70 import sys |
42a2825313e9
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/numeric_clustering commit ac9beb7e9c83b0ae811b304eb3085a4b0930f5a0
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71 import json |
42a2825313e9
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/numeric_clustering commit ac9beb7e9c83b0ae811b304eb3085a4b0930f5a0
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72 import numpy as np |
42a2825313e9
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/numeric_clustering commit ac9beb7e9c83b0ae811b304eb3085a4b0930f5a0
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73 import sklearn.cluster |
42a2825313e9
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/numeric_clustering commit ac9beb7e9c83b0ae811b304eb3085a4b0930f5a0
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74 import pandas |
42a2825313e9
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/numeric_clustering commit ac9beb7e9c83b0ae811b304eb3085a4b0930f5a0
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75 |
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planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/numeric_clustering commit ac9beb7e9c83b0ae811b304eb3085a4b0930f5a0
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76 data = pandas.DataFrame.from_csv("$infile", sep='\t', header=0, index_col=0, parse_dates=True, encoding=None, tupleize_cols=False ) |
42a2825313e9
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/numeric_clustering commit ac9beb7e9c83b0ae811b304eb3085a4b0930f5a0
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77 my_class = getattr(sklearn.cluster, "$algorithm_options.selected_algorithm") |
42a2825313e9
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/numeric_clustering commit ac9beb7e9c83b0ae811b304eb3085a4b0930f5a0
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78 cluster_object = my_class() |
42a2825313e9
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/numeric_clustering commit ac9beb7e9c83b0ae811b304eb3085a4b0930f5a0
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79 |
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80 params = json.loads( sys.argv[1] ) |
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81 cluster_object.set_params(**params) |
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82 if $end_column >= $start_column: |
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83 data_matrix = data.values[:, $start_column-1:$end_column] |
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84 else: |
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85 data_matrix = data.values |
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86 prediction = cluster_object.fit_predict( data_matrix ) |
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87 data['cluster_label'] = prediction |
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88 data.to_csv(path_or_buf = "$outfile",sep="\t") |
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89 ]]> |
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90 </configfile> |
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91 </configfiles> |
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92 <inputs> |
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93 <param name="infile" type="data" format="tabular" label="Data file with numeric values"/> |
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94 <param name="start_column" label="Clustering column from" type="data_column" data_ref="infile" optional="True" /> |
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95 <param name="end_column" label="to" type="data_column" data_ref="infile" optional="True" /> |
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96 <conditional name="algorithm_options"> |
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97 <param name="selected_algorithm" type="select" label="Clustering Algorithm"> |
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98 <option value="KMeans">KMeans</option> |
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99 <option value="DBSCAN">DBSCAN</option> |
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100 <option value="Birch">Birch</option> |
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101 <option value="MeanShift">MeanShift</option> |
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102 <option value="AffinityPropagation">Affinity Propagation</option> |
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103 <option value="AgglomerativeClustering">Agglomerative Clustering</option> |
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104 <option value="SpectralClustering">Spectral Clustering</option> |
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105 <option value="MiniBatchKMeans">Mini Batch KMeans</option> |
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106 </param> |
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107 <when value="KMeans"> |
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108 <expand macro="n_clusters"/> |
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109 <expand macro="init"/> |
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110 <expand macro="n_init"/> |
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111 <expand macro="max_iter"/> |
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112 <expand macro="tol"/> |
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113 <param name="precompute_distances" type="text" optional="true" value="" label="Precompute distances"/> |
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114 <expand macro="random_state"/> |
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115 <param name="copy_x" type="boolean" optional="true" truevalue="--copy_x" falsevale="" label="Do not modify original data"/> |
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116 </when> |
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117 <when value="DBSCAN"> |
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118 <param name="eps" type="float" optional="true" value="0.5" label="Maximum neghborhood distance"/> |
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119 <param name="min_samples" type="integer" optional="true" value="5" label="Core point minimum population"/> |
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120 <param name="metric" type="text" optional="true" value="euclidean" label="Metric"/> |
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121 <param name="algorithm" type="select" optional="true" value="auto" label="Pointwise distance algorithm"> |
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122 <option value="auto">auto</option> |
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123 <option value="ball_tree">ball_tree</option> |
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124 <option value="kd_tree">kd_tree</option> |
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125 <option value="brute">brute</option> |
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126 </param> |
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127 <param name="leaf_size" type="integer" optional="true" value="30" label="Leaf size"/> |
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128 </when> |
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129 <when value="Birch"> |
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130 <param name="threshold" type="float" optional="true" value="0.5" label="Subcluster radius threshold"/> |
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131 <param name="branching_factor" type="integer" optional="true" value="50" label="Maximum number of subclusters per branch"/> |
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132 <expand macro="n_clusters"/> <!-- default to 3--> |
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133 <!--param name="compute_labels" type="boolean" optional="true" truevalue="true" falsevale="false" label="Compute labels for each fit"/--> |
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134 </when> |
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135 <when value="AffinityPropagation"> |
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136 <param name="damping" type="float" optional="true" value="0.5" label="Damping factor"/> |
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137 <expand macro="max_iter"/> <!--default to 200 --> |
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138 <param name="convergence_iter" type="integer" optional="true" value="15" label="Number of iterations at each convergence step"/> |
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139 <param name="copy" type="boolean" optional="true" truevalue="true" falsevale="false" label="Make a copy of input data"/> |
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140 <!--param name="preference" type="text" optional="true" value="None" label="Array like shape (n_samples,)"/--> |
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141 <expand macro="affinity"/> <!--default = euclidean--> |
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142 </when> |
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143 <when value="MeanShift"> |
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144 <param name="bandwidth" type="float" optional="true" value="" label="RBF kernel bandwidth"/> |
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145 <!--param name="seeds" type="list" optional="true" value="None" label=""/--> |
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146 <param name="bin_seeding" type="boolean" optional="true" truevalue="true" falsevale="false" label="Discretize initial kernel locations"/> |
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147 <param name="min_bin_freq" type="integer" optional="true" value="1" label="Minimum number of seeds per bin"/> |
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148 <param name="cluster_all" type="boolean" optional="true" truevalue="true" falsevale="false" label="Cluster all"/> |
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149 </when> |
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150 <when value="AgglomerativeClustering"> |
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151 <expand macro="n_clusters"/> <!-- deafault 2--> |
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152 <expand macro="affinity"/> <!--default = euclidean--> |
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153 <!--param name="memory" type="callable" optional="true" value="Memory(cachedir=None)" label="Caching path"/--> |
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154 <!--param name="connectivity" type="list array-like or callable" optional="true" value="None" label="Connectivity matrix"/--> |
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155 <param name="n_components" type="integer" optional="true" value="" label="Number of connected components"/> |
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156 <!--param name="compute_full_tree" type="text or boolean" optional="true" value="auto" label=""/--> |
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157 <param name="linkage" type="select" optional="true" value="ward" label="Linkage"> |
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158 <option value="ward">ward</option> |
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159 <option value="complete">complete</option> |
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160 <option value="average">average</option> |
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161 </param> |
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162 <!--param name="pooling_func" type="callable" optional="np.mean" value="None" label=""/--> |
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163 </when> |
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164 <when value="SpectralClustering"> |
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165 <expand macro="n_clusters"/> |
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166 <param name="eigen_solver" type="select" value="arpack" label="Eigenvalue decomposition strategy"> |
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167 <option value="arpack">arpack</option> |
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168 <option value="lobpcg">lobpcg</option> |
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169 <option value="amg">amg</option> |
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170 </param> |
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171 <expand macro="random_state"/> |
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172 <!-- Todo: extend random_state type to int seed, RandomState instance, or None. --> |
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173 <expand macro="n_init"/> <!-- default to 10--> |
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174 <param name="gamma" type="float" optional="true" value="1.0" label="Kernel scaling factor"/> |
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175 <expand macro="affinity"/> <!--default =rbf--> |
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176 <param name="n_neighbors" type="integer" optional="true" value="10" label="Number of neighbors"/> |
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177 <!--param name="eigen_tol" type="float" optional="true" value="0.0" label="arpack eigendecomposition stopping threshold"/--> |
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178 <param name="assign_labels" type="select" optional="true" value="kmeans" label="Assign labels"> |
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179 <option value="kmeans">kmeans</option> |
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180 <option value="discretize">discretize</option> |
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181 </param> |
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182 <param name="degree" type="integer" optional="true" value="3" label="Degree of the polynomial (polynomial kernel only)"/> |
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183 <param name="coef0" type="integer" optional="true" value="1" label="Zero coefficient (polynomial and sigmoid kernels only)"/> |
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184 <!--param name="kernel_params" type="dict" optional="true" value="None" label=""/--> |
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185 </when> |
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186 <when value="MiniBatchKMeans"> |
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187 <expand macro="n_clusters"/> |
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188 <expand macro="init"/> |
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189 <expand macro="n_init"/> <!-- default to 3--> |
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190 <expand macro="max_iter"/> <!--default to 100--> |
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191 <expand macro="tol"/> <!--default = 0.0--> |
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192 <expand macro="random_state"/> |
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193 <param name="batch_size" type="integer" optional="true" value="100" label="Mini batch size"/> |
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194 <!--param name="compute_labels" type="boolean" optional="true" truevalue="true" falsevale="false" label="Compute labels for all data"/--> |
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195 <param name="max_no_improvement" type="integer" optional="true" value="10" label="Maximum number of improvement attempts"/> |
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196 <param name="init_size" type="integer" optional="true" value="" label="Number of random init samples"/> |
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197 <param name="reassignment_ratio" type="float" optional="true" value="0.01" label="Re-assignment ratio"/> |
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198 </when> |
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199 </conditional> |
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200 </inputs> |
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201 <outputs> |
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202 <data format_source="infile" name="outfile"/> |
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203 </outputs> |
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204 <tests> |
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205 <test> |
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206 <param name="infile" value="numeric_values.tabular" ftype="tabular"/> |
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207 <param name="selected_algorithm" value="KMeans"/> |
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208 <param name="n_clusters" value="4" /> |
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209 <param name="init" value="k-means++" /> |
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210 <param name="random_state" value="100"/> |
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211 <output name="outfile" file="cluster_result01.txt"/> |
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212 </test> |
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213 <test> |
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214 <param name="infile" value="numeric_values.tabular" ftype="tabular"/> |
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215 <param name="selected_algorithm" value="KMeans"/> |
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216 <param name="n_clusters" value="6" /> |
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217 <param name="init" value="random" /> |
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218 <param name="random_state" value="100"/> |
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219 <output name="outfile" file="cluster_result02.txt"/> |
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220 </test> |
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221 <test> |
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222 <param name="infile" value="numeric_values.tabular" ftype="tabular"/> |
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223 <param name="selected_algorithm" value="DBSCAN"/> |
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224 <param name="algorithm" value="kd_tree"/> |
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225 <param name="leaf_size" value="10"/> |
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226 <param name="eps" value="1.0"/> |
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227 <output name="outfile" file="cluster_result03.txt"/> |
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228 </test> |
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229 <test> |
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230 <param name="infile" value="numeric_values.tabular" ftype="tabular"/> |
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231 <param name="selected_algorithm" value="Birch"/> |
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232 <param name="n_clusters" value="5"/> |
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233 <param name="threshold" value="0.008"/> |
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234 <output name="outfile" file="cluster_result04.txt"/> |
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235 </test> |
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236 <test> |
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237 <param name="infile" value="numeric_values.tabular" ftype="tabular"/> |
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238 <param name="selected_algorithm" value="Birch"/> |
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239 <param name="branching_factor" value="20"/> |
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240 <output name="outfile" file="cluster_result05.txt"/> |
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241 </test> |
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242 <test> |
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243 <param name="infile" value="numeric_values.tabular" ftype="tabular"/> |
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244 <param name="selected_algorithm" value="AffinityPropagation"/> |
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245 <param name="affinity" value="euclidean"/> |
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246 <param name="copy" value="false"/> |
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247 <output name="outfile" file="cluster_result06.txt"/> |
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248 </test> |
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249 <test> |
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250 <param name="infile" value="numeric_values.tabular" ftype="tabular"/> |
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251 <param name="selected_algorithm" value="AffinityPropagation"/> |
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252 <param name="damping" value="0.8"/> |
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253 <output name="outfile" file="cluster_result07.txt"/> |
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254 </test> |
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255 <test> |
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256 <param name="infile" value="numeric_values.tabular" ftype="tabular"/> |
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257 <param name="selected_algorithm" value="MeanShift"/> |
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258 <param name="min_bin_freq" value="3"/> |
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259 <output name="outfile" file="cluster_result08.txt"/> |
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260 </test> |
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261 <test> |
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262 <param name="infile" value="numeric_values.tabular" ftype="tabular"/> |
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263 <param name="selected_algorithm" value="MeanShift"/> |
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264 <param name="cluster_all" value="False"/> |
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265 <output name="outfile" file="cluster_result09.txt"/> |
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266 </test> |
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267 <test> |
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268 <param name="infile" value="numeric_values.tabular" ftype="tabular"/> |
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269 <param name="selected_algorithm" value="AgglomerativeClustering"/> |
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270 <param name="affinity" value="euclidean"/> |
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271 <param name="linkage" value="average"/> |
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272 <output name="outfile" file="cluster_result10.txt"/> |
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273 </test> |
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274 <test> |
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275 <param name="infile" value="numeric_values.tabular" ftype="tabular"/> |
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276 <param name="selected_algorithm" value="AgglomerativeClustering"/> |
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277 <param name="linkage" value="complete"/> |
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278 <param name="n_clusters" value="5"/> |
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279 <output name="outfile" file="cluster_result11.txt"/> |
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280 </test> |
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281 <test> |
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282 <param name="infile" value="numeric_values.tabular" ftype="tabular"/> |
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283 <param name="selected_algorithm" value="SpectralClustering"/> |
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284 <param name="eigen_solver" value="arpack"/> |
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285 <param name="n_neighbors" value="12"/> |
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286 <param name="n_clusters" value="7"/> |
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287 <param name="assign_labels" value="discretize"/> |
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288 <param name="random_state" value="100"/> |
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289 <output name="outfile" file="cluster_result12.txt"/> |
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290 </test> |
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291 <test> |
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292 <param name="infile" value="numeric_values.tabular" ftype="tabular"/> |
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293 <param name="selected_algorithm" value="SpectralClustering"/> |
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294 <param name="assign_labels" value="discretize"/> |
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295 <param name="random_state" value="100"/> |
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296 <param name="degree" value="2"/> |
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297 <output name="outfile" file="cluster_result13.txt"/> |
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298 </test> |
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299 <test> |
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300 <param name="infile" value="numeric_values.tabular" ftype="tabular"/> |
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301 <param name="selected_algorithm" value="MiniBatchKMeans"/> |
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302 <param name="tol" value="0.5"/> |
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303 <param name="random_state" value="100"/> |
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304 <output name="outfile" file="cluster_result14.txt"/> |
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305 </test> |
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306 <test> |
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307 <param name="infile" value="numeric_values.tabular" ftype="tabular"/> |
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308 <param name="selected_algorithm" value="MiniBatchKMeans"/> |
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309 <param name="n_init" value="5"/> |
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310 <param name="batch_size" value="10"/> |
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311 <param name="n_clusters" value="3"/> |
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312 <param name="random_state" value="100"/> |
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313 <param name="reassignment_ratio" value="1.0"/> |
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314 <output name="outfile" file="cluster_result15.txt"/> |
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315 </test> |
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316 <test> |
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317 <param name="infile" value="numeric_values.tabular" ftype="tabular"/> |
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318 <param name="selected_algorithm" value="KMeans"/> |
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319 <param name="start_column" value="3" /> |
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320 <param name="end_column" value="4" /> |
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321 <param name="n_clusters" value="6" /> |
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322 <param name="init" value="random" /> |
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323 <param name="random_state" value="100"/> |
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324 <output name="outfile" file="cluster_result16.txt"/> |
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325 </test> |
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326 </tests> |
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327 <help><![CDATA[ |
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328 **What it does** |
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329 |
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330 This clustering tool offers different clustering algorithms which are provided by |
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331 scikit-learn to find similarities among samples and cluster the samples based on these similarities. |
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332 |
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333 ]]></help> |
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334 <citations> |
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335 <citation type="bibtex"> |
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336 @article{scikit-learn, |
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337 title={Scikit-learn: Machine Learning in {P}ython}, |
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338 author={Pedregosa, F. and Varoquaux, G. and Gramfort, A. and Michel, V. |
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339 and Thirion, B. and Grisel, O. and Blondel, M. and Prettenhofer, P. |
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340 and Weiss, R. and Dubourg, V. and Vanderplas, J. and Passos, A. and |
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341 Cournapeau, D. and Brucher, M. and Perrot, M. and Duchesnay, E.}, |
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342 journal={Journal of Machine Learning Research}, |
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343 volume={12}, |
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344 pages={2825--2830}, |
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345 year={2011} |
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346 url = {https://github.com/scikit-learn/scikit-learn} |
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347 } |
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348 </citation> |
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349 </citations> |
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350 </tool> |