NAME
   Data::CosineSimilarity - Compute the Cosine Similarity

SYNOPSIS
    $cs = Data::CosineSimilarity->new;
    $cs->add( label1 => { feature1 => 3, feature2 => 1, feature3 => 10 } );
    $cs->add( label2 => ... );
    $cs->add( label3 => ... );

    # computes the cosine similarity
    my $r = $cs->similarity( 'label1', 'label2' );

    # the result object
    my $cosine = $r->cosine;
    my $radian = $r->radian;
    my $degree = $r->degree;
    my ($label1, $label2) = $r->labels;

    # computes all the cosine similarity between 'label1' and the others.
    my @all = $cs->all_for_label('label1');

    # computes all, and returns the best
    my ($best_label, $r) = $cs->best_for_label('label2');

    # computes all, and returns the worst
    my ($worst_label, $r) = $cs->worst_for_label('label2');

DESCRIPTION
   Compute the cosine similarities between a set of vectors.

 $class->new( %opts )
   If all the feature vectors are normed then the computation of the cosine
   becomes just the dot product of the vectors. In this case, specify the
   option normed => 1, the performance will be greatly improved.

 $self->add( label => $features )
 $self->similarity( $label1, $label2 )
 $self->all_for_label( $label )
 $self->best_for_label( $label )
 $self->worst_for_label( $label )
AUTHOR
   Antoine Imbert, "<antoine.imbert at gmail.com>"

LICENSE AND COPYRIGHT
   This library is free software; you can redistribute it and/or modify it
   under the same terms as Perl itself.

You are viewing proxied material from ftp.icm.edu.pl. The copyright of proxied material belongs to its original authors. Any comments or complaints in relation to proxied material should be directed to the original authors of the content concerned. Please see the disclaimer for more details.