Set::Similarity::BV::Jaccard - Jaccard coefficent for sets
use Set::Similarity::BV::Jaccard; my $jaccard = Set::Similarity::BV::Jaccard->new; my $similarity = $jaccard->similarity('af09ff','9c09cc');
The Jaccard coefficient measures similarity between sample sets, and is defined as the size of the intersection divided by the size of the union of the sample sets
( A intersect B ) / (A union B)
The Tanimoto coefficient is the ratio of the number of elements common to both sets to the total number of elements, i.e.
( A intersect B ) / ( A + B - ( A intersect B ) ) # the same as Jaccard
The range is 0 to 1 inclusive.
Set::Similarity::BV::Jaccard inherits all methods from Set::Similarity::BV and implements the following new ones.
my $similarity = $object->from_integers($AoI1,$AoI2);
This method expects two array references of integers as parameters. The parameters are not checked, thus can lead to funny results or uncatched divisions by zero.
If you want to use this method directly, you should catch the situation where one of the parameters is empty (similarity is 0), or both are empty (similarity is 1).
http://github.com/wollmers/Set-Similarity-BV
Helmut Wollmersdorfer, <helmut.wollmersdorfer@gmail.com>
Copyright (C) 2016 by Helmut Wollmersdorfer
This library is free software; you can redistribute it and/or modify it under the same terms as Perl itself.
To install Set::Similarity::BV, copy and paste the appropriate command in to your terminal.
cpanm
cpanm Set::Similarity::BV
CPAN shell
perl -MCPAN -e shell install Set::Similarity::BV
For more information on module installation, please visit the detailed CPAN module installation guide.