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| author | Martin Wilke <miwi@FreeBSD.org> | 2007-01-22 07:51:28 +0000 |
|---|---|---|
| committer | Martin Wilke <miwi@FreeBSD.org> | 2007-01-22 07:51:28 +0000 |
| commit | 3775cead7768b021efc99d4a73e21cd9a6a4573f (patch) | |
| tree | 4a04471942e9c34e5773b9a5f48abd2599c73ac1 /textproc/rxp | |
| parent | mod_proxy_xml is an output filter to rewrite links in a proxy (diff) | |
Weka is a collection of machine learning algorithms for data mining tasks. The
algorithms can either be applied directly to a dataset or called from your own
Java code. Weka contains tools for data pre-processing, classification,
regression, clustering, association rules, and visualization. It is also
well-suited for developing new machine learning schemes.
WWW: http://www.cs.waikato.ac.nz/ml/weka/
PR: ports/108143
Submitted by: Simon Olofsson <simon at olofsson.de>
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