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.\" Automatically generated by Pod::Man 2.25 (Pod::Simple 3.22) .\" .\" Standard preamble: .\" ======================================================================== .de Sp \" Vertical space (when we can't use .PP) .if t .sp .5v .if n .sp .. .de Vb \" Begin verbatim text .ft CW .nf .ne \\$1 .. .de Ve \" End verbatim text .ft R .fi .. .\" Set up some character translations and predefined strings. \*(-- will .\" give an unbreakable dash, \*(PI will give pi, \*(L" will give a left .\" double quote, and \*(R" will give a right double quote. \*(C+ will .\" give a nicer C++. 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Always turn off hyphenation; it makes .\" way too many mistakes in technical documents. .if n .ad l .nh .SH "NAME" FingerprintsBitVector .SH "SYNOPSIS" .IX Header "SYNOPSIS" use Fingerprints::FingerprintsBitVector; .PP use Fingerprints::FingerprintsBitVector qw(:coefficients); .PP use Fingerprints::FingerprintsBitVector qw(:all); .SH "DESCRIPTION" .IX Header "DESCRIPTION" \&\fBFingerprintsBitVector\fR class provides the following methods: .PP new, BaroniUrbaniSimilarityCoefficient, BuserSimilarityCoefficient, CosineSimilarityCoefficient, DennisSimilarityCoefficient, DiceSimilarityCoefficient, FoldFingerprintsBitVectorByDensity, FoldFingerprintsBitVectorBySize, ForbesSimilarityCoefficient, FossumSimilarityCoefficient, GetBitsAsBinaryString, GetBitsAsDecimalString, GetBitsAsHexadecimalString, GetBitsAsOctalString, GetBitsAsRawBinaryString, GetDescription, GetFingerprintsBitDensity, GetID, GetSpecifiedSize, GetSupportedSimilarityCoefficients, GetVectorType, HamannSimilarityCoefficient, IsFingerprintsBitVector, IsSubSet, JacardSimilarityCoefficient, Kulczynski1SimilarityCoefficient, Kulczynski2SimilarityCoefficient, MatchingSimilarityCoefficient, McConnaugheySimilarityCoefficient, NewFromBinaryString, NewFromDecimalString, NewFromHexadecimalString, NewFromOctalString, NewFromRawBinaryString, OchiaiSimilarityCoefficient, PearsonSimilarityCoefficient, RogersTanimotoSimilarityCoefficient, RussellRaoSimilarityCoefficient, SetDescription, SetID, SetSpecifiedSize, SetVectorType, SimpsonSimilarityCoefficient, SkoalSneath1SimilarityCoefficient, SkoalSneath2SimilarityCoefficient, SkoalSneath3SimilarityCoefficient, StringifyFingerprintsBitVector, TanimotoSimilarityCoefficient, TverskySimilarityCoefficient, WeightedTanimotoSimilarityCoefficient, WeightedTverskySimilarityCoefficient, YuleSimilarityCoefficient .PP The methods available to create fingerprints bit vector from strings and to calculate similarity coefficient between two bit vectors can also be invoked as class functions. .PP \&\fBFingerprintsBitVector\fR class is derived from \fBBitVector\fR class which provides the functionality to manipulate bits. .PP For two fingerprints bit vectors A and B of same size, let: .PP .Vb 4 \& Na = Number of bits set to "1" in A \& Nb = Number of bits set to "1" in B \& Nc = Number of bits set to "1" in both A and B \& Nd = Number of bits set to "0" in both A and B \& \& Nt = Number of bits set to "1" or "0" in A or B (Size of A or B) \& Nt = Na + Nb \- Nc + Nd \& \& Na \- Nc = Number of bits set to "1" in A but not in B \& Nb \- Nc = Number of bits set to "1" in B but not in A .Ve .PP Then, various similarity coefficients [ Ref. 40 \- 42 ] for a pair of bit vectors A and B are defined as follows: .PP BaroniUrbani: ( \s-1SQRT\s0( Nc * Nd ) + Nc ) / ( \s-1SQRT\s0 ( Nc * Nd ) + Nc + ( Na \- Nc ) + ( Nb \- Nc ) ) ( same as Buser ) .PP Buser: ( \s-1SQRT\s0 ( Nc * Nd ) + Nc ) / ( \s-1SQRT\s0 ( Nc * Nd ) + Nc + ( Na \- Nc ) + ( Nb \- Nc ) ) ( same as BaroniUrbani ) .PP Cosine: Nc / \s-1SQRT\s0 ( Na * Nb ) (same as Ochiai) .PP Dice: (2 * Nc) / ( Na + Nb ) .PP Dennis: ( Nc * Nd \- ( ( Na \- Nc ) * ( Nb \- Nc ) ) ) / \s-1SQRT\s0 ( Nt * Na * Nb) .PP Forbes: ( Nt * Nc ) / ( Na * Nb ) .PP Fossum: ( Nt * ( ( Nc \- 1/2 ) ** 2 ) / ( Na * Nb ) .PP Hamann: ( ( Nc + Nd ) \- ( Na \- Nc ) \- ( Nb \- Nc ) ) / Nt .PP Jaccard: Nc / ( ( Na \- Nc) + ( Nb \- Nc ) + Nc ) = Nc / ( Na + Nb \- Nc ) (same as Tanimoto) .PP Kulczynski1: Nc / ( ( Na \- Nc ) + ( Nb \- Nc) ) = Nc / ( Na + Nb \- 2Nc ) .PP Kulczynski2: ( ( Nc / 2 ) * ( 2 * Nc + ( Na \- Nc ) + ( Nb \- Nc) ) ) / ( ( Nc + ( Na \- Nc ) ) * ( Nc + ( Nb \- Nc ) ) ) = 0.5 * ( Nc / Na + Nc / Nb ) .PP Matching: ( Nc + Nd ) / Nt .PP McConnaughey: ( Nc ** 2 \- ( Na \- Nc ) * ( Nb \- Nc) ) / ( Na * Nb ) .PP Ochiai: Nc / \s-1SQRT\s0 ( Na * Nb ) (same as Cosine) .PP Pearson: ( ( Nc * Nd ) \- ( ( Na \- Nc ) * ( Nb \- Nc ) ) / \s-1SQRT\s0 ( Na * Nb * ( Na \- Nc + Nd ) * ( Nb \- Nc + Nd ) ) .PP RogersTanimoto: ( Nc + Nd ) / ( ( Na \- Nc) + ( Nb \- Nc) + Nt) = ( Nc + Nd ) / ( Na + Nb \- 2Nc + Nt) .PP RussellRao: Nc / Nt .PP Simpson: Nc / \s-1MIN\s0 ( Na, Nb) .PP SkoalSneath1: Nc / ( Nc + 2 * ( Na \- Nc) + 2 * ( Nb \- Nc) ) = Nc / ( 2 * Na + 2 * Nb \- 3 * Nc ) .PP SkoalSneath2: ( 2 * Nc + 2 * Nd ) / ( Nc + Nd + Nt ) .PP SkoalSneath3: ( Nc + Nd ) / ( ( Na \- Nc ) + ( Nb \- Nc ) ) = ( Nc + Nd ) / ( Na + Nb \- 2 * Nc ) .PP Tanimoto: Nc / ( ( Na \- Nc) + ( Nb \- Nc ) + Nc ) = Nc / ( Na + Nb \- Nc ) (same as Jaccard) .PP Tversky: Nc / ( alpha * ( Na \- Nc ) + ( 1 \- alpha) * ( Nb \- Nc) + Nc ) = Nc / ( alpha * ( Na \- Nb ) + Nb) .PP Yule: ( ( Nc * Nd ) \- ( ( Na \- Nc ) * ( Nb \- Nc ) ) ) / ( ( Nc * Nd ) + ( ( Na \- Nc ) * ( Nb \- Nc ) ) ) .PP The values of Tanimoto/Jaccard and Tversky coefficients are dependent on only those bit which are set to \*(L"1\*(R" in both A and B. In order to take into account all bit positions, modified versions of Tanimoto [ Ref. 42 ] and Tversky [ Ref. 43 ] have been developed. .PP Let: .PP .Vb 3 \& Na\*(Aq = Number of bits set to "0" in A \& Nb\*(Aq = Number of bits set to "0" in B \& Nc\*(Aq = Number of bits set to "0" in both A and B .Ve .PP Tanimoto': Nc' / ( ( Na' \- Nc') + ( Nb' \- Nc' ) + Nc' ) = Nc' / ( Na' + Nb' \- Nc' ) .PP Tversky': Nc' / ( alpha * ( Na' \- Nc' ) + ( 1 \- alpha) * ( Nb' \- Nc' ) + Nc' ) = Nc' / ( alpha * ( Na' \- Nb' ) + Nb') .PP Then: .PP WeightedTanimoto = beta * Tanimoto + (1 \- beta) * Tanimoto' .PP WeightedTversky = beta * Tversky + (1 \- beta) * Tversky' .SS "\s-1METHODS\s0" .IX Subsection "METHODS" .IP "\fBnew\fR" 4 .IX Item "new" .Vb 1 \& $NewFPBitVector = new Fingerprints::FingerprintsBitVector($Size); .Ve .Sp Creates a new \fIFingerprintsBitVector\fR object of size \fISize\fR and returns newly created \&\fBFingerprintsBitVector\fR. Bit numbers range from 0 to 1 less than \fISize\fR. .IP "\fBBaroniUrbaniSimilarityCoefficient\fR" 4 .IX Item "BaroniUrbaniSimilarityCoefficient" .Vb 5 \& $Value = $FingerprintsBitVector\->BaroniUrbaniSimilarityCoefficient( \& $OtherFingerprintBitVector); \& $Value = Fingerprints::FingerprintsBitVector:: \& BaroniUrbaniSimilarityCoefficient( \& $FingerprintsBitVectorA, $FingerprintBitVectorB); .Ve .Sp Returns value of \fIBaroniUrbani\fR similarity coefficient between two same size \fIFingerprintsBitVectors\fR. .IP "\fBBuserSimilarityCoefficient\fR" 4 .IX Item "BuserSimilarityCoefficient" .Vb 4 \& $Value = $FingerprintsBitVector\->BuserSimilarityCoefficient( \& $OtherFingerprintBitVector); \& $Value = Fingerprints::FingerprintsBitVector::BuserSimilarityCoefficient( \& $FingerprintsBitVectorA, $FingerprintBitVectorB); .Ve .Sp Returns value of \fIBuser\fR similarity coefficient between two same size \fIFingerprintsBitVectors\fR. .IP "\fBCosineSimilarityCoefficient\fR" 4 .IX Item "CosineSimilarityCoefficient" .Vb 4 \& $Value = $FingerprintsBitVector\->CosineSimilarityCoefficient( \& $OtherFingerprintBitVector); \& $Value = Fingerprints::FingerprintsBitVector::CosineSimilarityCoefficient( \& $FingerprintsBitVectorA, $FingerprintBitVectorB); .Ve .Sp Returns value of \fICosine\fR similarity coefficient between two same size \fIFingerprintsBitVectors\fR. .IP "\fBDennisSimilarityCoefficient\fR" 4 .IX Item "DennisSimilarityCoefficient" .Vb 4 \& $Value = $FingerprintsBitVector\->DennisSimilarityCoefficient( \& $OtherFingerprintBitVector); \& $Value = Fingerprints::FingerprintsBitVector::DennisSimilarityCoefficient( \& $FingerprintsBitVectorA, $FingerprintBitVectorB); .Ve .Sp Returns value of \fIDennis\fR similarity coefficient between two same size \fIFingerprintsBitVectors\fR. .IP "\fBDiceSimilarityCoefficient\fR" 4 .IX Item "DiceSimilarityCoefficient" .Vb 4 \& $Value = $FingerprintsBitVector\->DiceSimilarityCoefficient( \& $OtherFingerprintBitVector); \& $Value = Fingerprints::FingerprintsBitVector::DiceSimilarityCoefficient( \& $FingerprintsBitVectorA, $FingerprintBitVectorB); .Ve .Sp Returns value of \fIDice\fR similarity coefficient between two same size \fIFingerprintsBitVectors\fR. .IP "\fBFoldFingerprintsBitVectorByDensity\fR" 4 .IX Item "FoldFingerprintsBitVectorByDensity" .Vb 1 \& $FingerprintsBitVector\->FoldFingerprintsBitVectorByDensity($Density); .Ve .Sp Folds \fIFingerprintsBitVector\fR by recursively reducing its size by half until bit density of set bits is greater than or equal to specified \fIDensity\fR and returns folded \fIFingerprintsBitVector\fR. .IP "\fBFoldFingerprintsBitVectorBySize\fR" 4 .IX Item "FoldFingerprintsBitVectorBySize" .Vb 1 \& $FingerprintsBitVector\->FoldFingerprintsBitVectorBySize($Size); .Ve .Sp Folds \fIFingerprintsBitVector\fR by recursively reducing its size by half until size is less than or equal to specified \fISize\fR and returns folded \fIFingerprintsBitVector\fR. .IP "\fBForbesSimilarityCoefficient\fR" 4 .IX Item "ForbesSimilarityCoefficient" .Vb 4 \& $Value = $FingerprintsBitVector\->ForbesSimilarityCoefficient( \& $OtherFingerprintBitVector); \& $Value = Fingerprints::FingerprintsBitVector::ForbesSimilarityCoefficient( \& $FingerprintsBitVectorA, $FingerprintBitVectorB); .Ve .Sp Returns value of \fIForbes\fR similarity coefficient between two same size \fIFingerprintsBitVectors\fR. .IP "\fBFossumSimilarityCoefficient\fR" 4 .IX Item "FossumSimilarityCoefficient" .Vb 4 \& $Value = $FingerprintsBitVector\->FossumSimilarityCoefficient( \& $OtherFingerprintBitVector); \& $Value = Fingerprints::FingerprintsBitVector::FossumSimilarityCoefficient( \& $FingerprintsBitVectorA, $FingerprintBitVectorB); .Ve .Sp Returns value of \fIFossum\fR similarity coefficient between two same size \fIFingerprintsBitVectors\fR. .IP "\fBGetBitsAsBinaryString\fR" 4 .IX Item "GetBitsAsBinaryString" .Vb 1 \& $BinaryASCIIString = $FingerprintsBitVector\->GetBitsAsBinaryString(); .Ve .Sp Returns fingerprints as a binary \s-1ASCII\s0 string containing 0s and 1s. .IP "\fBGetBitsAsHexadecimalString\fR" 4 .IX Item "GetBitsAsHexadecimalString" .Vb 1 \& $HexadecimalString = $FingerprintsBitVector\->GetBitsAsHexadecimalString(); .Ve .Sp Returns fingerprints as a hexadecimal string. .IP "\fBGetBitsAsRawBinaryString\fR" 4 .IX Item "GetBitsAsRawBinaryString" .Vb 1 \& $RawBinaryString = $FingerprintsBitVector\->GetBitsAsRawBinaryString(); .Ve .Sp Returns fingerprints as a raw binary string containing packed bit values for each byte. .IP "\fBGetDescription\fR" 4 .IX Item "GetDescription" .Vb 1 \& $Description = $FingerprintsBitVector\->GetDescription(); .Ve .Sp Returns a string containing description of fingerprints bit vector. .IP "\fBGetFingerprintsBitDensity\fR" 4 .IX Item "GetFingerprintsBitDensity" .Vb 1 \& $BitDensity = $FingerprintsBitVector\->GetFingerprintsBitDensity(); .Ve .Sp Returns \fIBitDensity\fR of \fIFingerprintsBitVector\fR corresponding to bits set to 1s. .IP "\fBGetID\fR" 4 .IX Item "GetID" .Vb 1 \& $ID = $FingerprintsBitVector\->GetID(); .Ve .Sp Returns \fI\s-1ID\s0\fR of \fIFingerprintsBitVector\fR. .IP "\fBGetVectorType\fR" 4 .IX Item "GetVectorType" .Vb 1 \& $VectorType = $FingerprintsBitVector\->GetVectorType(); .Ve .Sp Returns \fIVectorType\fR of \fIFingerprintsBitVector\fR. .IP "\fBGetSpecifiedSize\fR" 4 .IX Item "GetSpecifiedSize" .Vb 1 \& $Size = $FingerprintsBitVector\->GetSpecifiedSize(); .Ve .Sp Returns value of specified size for bit vector. .IP "\fBGetSupportedSimilarityCoefficients\fR" 4 .IX Item "GetSupportedSimilarityCoefficients" .Vb 2 \& @SimilarityCoefficient = \& Fingerprints::FingerprintsBitVector::GetSupportedSimilarityCoefficients(); .Ve .Sp Returns an array containing names of supported similarity coefficients. .IP "\fBHamannSimilarityCoefficient\fR" 4 .IX Item "HamannSimilarityCoefficient" .Vb 4 \& $Value = $FingerprintsBitVector\->HamannSimilarityCoefficient( \& $OtherFingerprintBitVector); \& $Value = Fingerprints::FingerprintsBitVector::HamannSimilarityCoefficient( \& $FingerprintsBitVectorA, $FingerprintBitVectorB); .Ve .Sp Returns value of \fIHamann\fR similarity coefficient between two same size \fIFingerprintsBitVectors\fR. .IP "\fBIsFingerprintsBitVector\fR" 4 .IX Item "IsFingerprintsBitVector" .Vb 2 \& $Status = Fingerprints::FingerprintsBitVector:: \& IsFingerprintsBitVector($Object); .Ve .Sp Returns 1 or 0 based on whether \fIObject\fR is a \fBFingerprintsBitVector\fR object. .IP "\fBIsSubSet\fR" 4 .IX Item "IsSubSet" .Vb 3 \& $Status = $FingerprintsBitVector\->IsSubSet($OtherFPBitVector); \& $Status = Fingerprints::FingerprintsBitVector::IsSubSet( \& $FPBitVectorA, $FPBitVectorB); .Ve .Sp Returns 1 or 0 based on whether first firngerprints bit vector is a subset of second fingerprints bit vector. .Sp For a bit vector to be a subset of another bit vector, both vectors must be of the same size and the bit positions set in first vector must also be set in the second bit vector. .IP "\fBJacardSimilarityCoefficient\fR" 4 .IX Item "JacardSimilarityCoefficient" .Vb 4 \& $Value = $FingerprintsBitVector\->JacardSimilarityCoefficient( \& $OtherFingerprintBitVector); \& $Value = Fingerprints::FingerprintsBitVector::JacardSimilarityCoefficient( \& $FingerprintsBitVectorA, $FingerprintBitVectorB); .Ve .Sp Returns value of \fIJacard\fR similarity coefficient between two same size \fIFingerprintsBitVectors\fR. .IP "\fBKulczynski1SimilarityCoefficient\fR" 4 .IX Item "Kulczynski1SimilarityCoefficient" .Vb 5 \& $Value = $FingerprintsBitVector\->Kulczynski1SimilarityCoefficient( \& $OtherFingerprintBitVector); \& $Value = Fingerprints::FingerprintsBitVector:: \& Kulczynski1SimilarityCoefficient( \& $FingerprintsBitVectorA, $FingerprintBitVectorB); .Ve .Sp Returns value of \fIKulczynski1\fR similarity coefficient between two same size \fIFingerprintsBitVectors\fR. .IP "\fBKulczynski2SimilarityCoefficient\fR" 4 .IX Item "Kulczynski2SimilarityCoefficient" .Vb 5 \& $Value = $FingerprintsBitVector\->Kulczynski2SimilarityCoefficient( \& $OtherFingerprintBitVector); \& $Value = Fingerprints::FingerprintsBitVector:: \& Kulczynski2SimilarityCoefficient( \& $FingerprintsBitVectorA, $FingerprintBitVectorB); .Ve .Sp Returns value of \fIKulczynski2\fR similarity coefficient between two same size \fIFingerprintsBitVectors\fR. .IP "\fBMatchingSimilarityCoefficient\fR" 4 .IX Item "MatchingSimilarityCoefficient" .Vb 5 \& $Value = $FingerprintsBitVector\->MatchingSimilarityCoefficient( \& $OtherFingerprintBitVector); \& $Value = Fingerprints::FingerprintsBitVector:: \& MatchingSimilarityCoefficient( \& $FingerprintsBitVectorA, $FingerprintBitVectorB); .Ve .Sp Returns value of \fIMatching\fR similarity coefficient between two same size \fIFingerprintsBitVectors\fR. .IP "\fBMcConnaugheySimilarityCoefficient\fR" 4 .IX Item "McConnaugheySimilarityCoefficient" .Vb 5 \& $Value = $FingerprintsBitVector\->McConnaugheySimilarityCoefficient( \& $OtherFingerprintBitVector); \& $Value = Fingerprints::FingerprintsBitVector:: \& McConnaugheySimilarityCoefficient( \& $FingerprintsBitVectorA, $FingerprintBitVectorB); .Ve .Sp Returns value of \fIMcConnaughey\fR similarity coefficient between two same size \fIFingerprintsBitVectors\fR. .IP "\fBNewFromBinaryString\fR" 4 .IX Item "NewFromBinaryString" .Vb 4 \& $NewFPBitVector = $FingerprintsBitVector\->NewFromBinaryString( \& $BinaryString); \& $NewFPBitVector = Fingerprints::FingerprintsBitVector::NewFromBinaryString( \& $BinaryString); .Ve .Sp Creates a new \fIFingerprintsBitVector\fR using \fIBinaryString\fR and returns new \&\fBFingerprintsBitVector\fR object. .IP "\fBNewFromHexadecimalString\fR" 4 .IX Item "NewFromHexadecimalString" .Vb 5 \& $NewFPBitVector = $FingerprintsBitVector\->NewFromHexadecimalString( \& $HexdecimalString); \& $NewFPBitVector = Fingerprints::FingerprintsBitVector:: \& NewFromHexadecimalString( \& $HexdecimalString); .Ve .Sp Creates a new \fIFingerprintsBitVector\fR using \fIHexdecimalString\fR and returns new \&\fBFingerprintsBitVector\fR object. .IP "\fBNewFromRawBinaryString\fR" 4 .IX Item "NewFromRawBinaryString" .Vb 5 \& $NewFPBitVector = $FingerprintsBitVector\->NewFromRawBinaryString( \& $RawBinaryString); \& $NewFPBitVector = Fingerprints::FingerprintsBitVector:: \& NewFromRawBinaryString( \& $RawBinaryString); .Ve .Sp Creates a new \fIFingerprintsBitVector\fR using \fIRawBinaryString\fR and returns new \&\fBFingerprintsBitVector\fR object. .IP "\fBOchiaiSimilarityCoefficient\fR" 4 .IX Item "OchiaiSimilarityCoefficient" .Vb 4 \& $Value = $FingerprintsBitVector\->OchiaiSimilarityCoefficient( \& $OtherFingerprintBitVector); \& $Value = Fingerprints::FingerprintsBitVector::OchiaiSimilarityCoefficient( \& $FingerprintsBitVectorA, $FingerprintBitVectorB); .Ve .Sp Returns value of \fIOchiai\fR similarity coefficient between two same size \fIFingerprintsBitVectors\fR. .IP "\fBPearsonSimilarityCoefficient\fR" 4 .IX Item "PearsonSimilarityCoefficient" .Vb 4 \& $Value = $FingerprintsBitVector\->PearsonSimilarityCoefficient( \& $OtherFingerprintBitVector); \& $Value = Fingerprints::FingerprintsBitVector::PearsonSimilarityCoefficient( \& $FingerprintsBitVectorA, $FingerprintBitVectorB); .Ve .Sp Returns value of \fIPearson\fR similarity coefficient between two same size \fIFingerprintsBitVectors\fR. .IP "\fBRogersTanimotoSimilarityCoefficient\fR" 4 .IX Item "RogersTanimotoSimilarityCoefficient" .Vb 5 \& $Value = $FingerprintsBitVector\->RogersTanimotoSimilarityCoefficient( \& $OtherFingerprintBitVector); \& $Value = Fingerprints::FingerprintsBitVector:: \& RogersTanimotoSimilarityCoefficient( \& $FingerprintsBitVectorA, $FingerprintBitVectorB); .Ve .Sp Returns value of \fIRogersTanimoto\fR similarity coefficient between two same size \fIFingerprintsBitVectors\fR. .IP "\fBRussellRaoSimilarityCoefficient\fR" 4 .IX Item "RussellRaoSimilarityCoefficient" .Vb 5 \& $Value = $FingerprintsBitVector\->RussellRaoSimilarityCoefficient( \& $OtherFingerprintBitVector); \& $Value = Fingerprints::FingerprintsBitVector:: \& RussellRaoSimilarityCoefficient( \& $FingerprintsBitVectorA, $FingerprintBitVectorB); .Ve .Sp Returns value of \fIRussellRao\fR similarity coefficient between two same size \fIFingerprintsBitVectors\fR. .IP "\fBSetSpecifiedSize\fR" 4 .IX Item "SetSpecifiedSize" .Vb 1 \& $FingerprintsBitVector\->SetSpecifiedSize($Size); .Ve .Sp Sets specified size for fingerprints bit vector. .Sp Irrespective of specified size, Perl functions used to handle bit data in \fBBitVector\fR class automatically sets the size to the next nearest power of 2. \fISpecifiedSize\fR is used by \&\fBFingerprintsBitVector\fR class to process any aribitray size during similarity coefficient calculations. .IP "\fBSetDescription\fR" 4 .IX Item "SetDescription" .Vb 1 \& $FingerprintsBitVector\->SetDescription($Description); .Ve .Sp Sets \fIDescription\fR of fingerprints bit vector and returns \fIFingerprintsBitVector\fR. .IP "\fBSetID\fR" 4 .IX Item "SetID" .Vb 1 \& $FingerprintsBitVector\->SetID($ID); .Ve .Sp Sets \fI\s-1ID\s0\fR of fingerprints bit vector and returns \fIFingerprintsBitVector\fR. .IP "\fBSetVectorType\fR" 4 .IX Item "SetVectorType" .Vb 1 \& $FingerprintsBitVector\->SetVectorType($VectorType); .Ve .Sp Sets \fIVectorType\fR of fingerprints bit vector and returns \fIFingerprintsBitVector\fR. .IP "\fBSimpsonSimilarityCoefficient\fR" 4 .IX Item "SimpsonSimilarityCoefficient" .Vb 4 \& $Value = $FingerprintsBitVector\->SimpsonSimilarityCoefficient( \& $OtherFingerprintBitVector); \& $Value = Fingerprints::FingerprintsBitVector::SimpsonSimilarityCoefficient( \& $FingerprintsBitVectorA, $FingerprintBitVectorB); .Ve .Sp Returns value of \fISimpson\fR similarity coefficient between two same size \fIFingerprintsBitVectors\fR. .IP "\fBSkoalSneath1SimilarityCoefficient\fR" 4 .IX Item "SkoalSneath1SimilarityCoefficient" .Vb 5 \& $Value = $FingerprintsBitVector\->SkoalSneath1SimilarityCoefficient( \& $OtherFingerprintBitVector); \& $Value = Fingerprints::FingerprintsBitVector:: \& SkoalSneath1SimilarityCoefficient( \& $FingerprintsBitVectorA, $FingerprintBitVectorB); .Ve .Sp Returns value of \fISkoalSneath1\fR similarity coefficient between two same size \fIFingerprintsBitVectors\fR. .IP "\fBSkoalSneath2SimilarityCoefficient\fR" 4 .IX Item "SkoalSneath2SimilarityCoefficient" .Vb 5 \& $Value = $FingerprintsBitVector\->SkoalSneath2SimilarityCoefficient( \& $OtherFingerprintBitVector); \& $Value = Fingerprints::FingerprintsBitVector:: \& SkoalSneath2SimilarityCoefficient( \& $FingerprintsBitVectorA, $FingerprintBitVectorB); .Ve .Sp Returns value of \fISkoalSneath2\fR similarity coefficient between two same size \fIFingerprintsBitVectors\fR. .IP "\fBSkoalSneath3SimilarityCoefficient\fR" 4 .IX Item "SkoalSneath3SimilarityCoefficient" .Vb 5 \& $Value = $FingerprintsBitVector\->SkoalSneath3SimilarityCoefficient( \& $OtherFingerprintBitVector); \& $Value = Fingerprints::FingerprintsBitVector:: \& SkoalSneath3SimilarityCoefficient( \& $FingerprintsBitVectorA, $FingerprintBitVectorB); .Ve .Sp Returns value of \fISkoalSneath3\fR similarity coefficient between two same size \fIFingerprintsBitVectors\fR .IP "\fBStringifyFingerprintsBitVector\fR" 4 .IX Item "StringifyFingerprintsBitVector" .Vb 1 \& $String = $FingerprintsBitVector\->StringifyFingerprintsBitVector(); .Ve .Sp Returns a string containing information about \fIFingerprintsBitVector\fR object. .IP "\fBTanimotoSimilarityCoefficient\fR" 4 .IX Item "TanimotoSimilarityCoefficient" .Vb 5 \& $Value = $FingerprintsBitVector\->TanimotoSimilarityCoefficient( \& $OtherFingerprintBitVector); \& $Value = Fingerprints::FingerprintsBitVector:: \& TanimotoSimilarityCoefficient( \& $FingerprintsBitVectorA, $FingerprintBitVectorB); .Ve .Sp Returns value of \fITanimoto\fR similarity coefficient between two same size \fIFingerprintsBitVectors\fR. .IP "\fBTverskySimilarityCoefficient\fR" 4 .IX Item "TverskySimilarityCoefficient" .Vb 5 \& $Value = $FingerprintsBitVector\->TverskySimilarityCoefficient( \& $OtherFingerprintBitVector, $Alpha); \& $Value = Fingerprints::FingerprintsBitVector:: \& TverskySimilarityCoefficient( \& $FingerprintsBitVectorA, $FingerprintBitVectorB, $Alpha); .Ve .Sp Returns value of \fITversky\fR similarity coefficient between two same size \fIFingerprintsBitVectors\fR. .IP "\fBWeightedTanimotoSimilarityCoefficient\fR" 4 .IX Item "WeightedTanimotoSimilarityCoefficient" .Vb 7 \& $Value = \& $FingerprintsBitVector\->WeightedTanimotoSimilarityCoefficient( \& $OtherFingerprintBitVector, $Beta); \& $Value = \& Fingerprints::FingerprintsBitVector:: \& WeightedTanimotoSimilarityCoefficient( \& $FingerprintsBitVectorA, $FingerprintBitVectorB, $Beta); .Ve .Sp Returns value of \fIWeightedTanimoto\fR similarity coefficient between two same size \fIFingerprintsBitVectors\fR. .IP "\fBWeightedTverskySimilarityCoefficient\fR" 4 .IX Item "WeightedTverskySimilarityCoefficient" .Vb 7 \& $Value = \& $FingerprintsBitVector\->WeightedTverskySimilarityCoefficient( \& $OtherFingerprintBitVector, $Alpha, $Beta); \& $Value = \& Fingerprints::FingerprintsBitVector:: \& WeightedTverskySimilarityCoefficient( \& $FingerprintsBitVectorA, $FingerprintBitVectorB, $Alpha, $Beta); .Ve .Sp Returns value of \fIWeightedTversky\fR similarity coefficient between two same size \fIFingerprintsBitVectors\fR. .IP "\fBYuleSimilarityCoefficient\fR" 4 .IX Item "YuleSimilarityCoefficient" .Vb 4 \& $Value = $FingerprintsBitVector\->YuleSimilarityCoefficient( \& $OtherFingerprintBitVector); \& $Value = Fingerprints::FingerprintsBitVector::YuleSimilarityCoefficient( \& $FingerprintsBitVectorA, $FingerprintBitVectorB); .Ve .Sp Returns value of \fIYule\fR similarity coefficient between two same size \fIFingerprintsBitVectors\fR. .SH "AUTHOR" .IX Header "AUTHOR" Manish Sud <msud@san.rr.com> .SH "SEE ALSO" .IX Header "SEE ALSO" BitVector.pm, FingerprintsStringUtil.pm, FingerprintsVector.pm, Vector.pm .SH "COPYRIGHT" .IX Header "COPYRIGHT" Copyright (C) 2015 Manish Sud. All rights reserved. .PP This file is part of MayaChemTools. .PP MayaChemTools is free software; you can redistribute it and/or modify it under the terms of the \s-1GNU\s0 Lesser General Public License as published by the Free Software Foundation; either version 3 of the License, or (at your option) any later version.