e1daee4b97
in multidimensional spaces. Since the module is entirely in Perl (in the sense that it is not a Perl wrapper around a C library that actually does the clustering), the code in the module can easily be modified to experiment with several aspects of automatic clustering. For example, one can change the criterion used to measure the "distance" between two data points, the stopping condition for accepting final clusters, the criterion used for measuring the quality of the clustering achieved, etc. WWW: http://search.cpan.org/dist/Algorithm-KMeans Feature safe: yes
6 lines
276 B
Text
6 lines
276 B
Text
%%SITE_PERL%%/Algorithm/KMeans.pm
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%%SITE_PERL%%/%%PERL_ARCH%%/auto/Algorithm/KMeans/.packlist
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@dirrm %%SITE_PERL%%/%%PERL_ARCH%%/auto/Algorithm/KMeans
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@dirrmtry %%SITE_PERL%%/%%PERL_ARCH%%/auto/Algorithm
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@dirrm %%SITE_PERL%%/Algorithm/KMeans
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@dirrmtry %%SITE_PERL%%/Algorithm
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