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lib/Algorithm/FuzzyCmeans.pm  view on Meta::CPAN

`m' option is a fuzzyness coefficient, and must be more than 1.0 (default: 2.0).

`distance_class' option is a class name with distance function between vectors. Currently, 'Algorithm::FuzzyCmeans::Distance::Euclid'(euclid distance) and 'Algorithm::FuzzyCmeans::Distance::Cosine'(cosine distance) are supported (default: cosine).

=head2 add_document($id, $vector)

Add an input document to the instance of Algorithm::FuzzyCmeans. $id parameter is the identifier of a document, and $vector parameter is the feature vector of a document. $vector parameter must be a hash reference, each key of $vector parameter is th...

=head2 do_clustering($num_cluster, $num_iter)

Do clustering input documents. $num_cluster parameter specifies the number of output clusters, and $num_iter parameter specifies the number of clustering iterations.

=head2 memberships

This method is the accessor of clustering result. The output of the method is a hash reference, the key is the identifier of each input document, and the value is the list of the degrees of membership of each input document in output clusters.

=head2 centroids

This method is the accessor of the vectors of cluster centroids.

=head1 AUTHOR