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weka

Waikato Environment for Knowledge Analysis

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.
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Package version:3.6.2
Architecture:src
Distribution:Fedora
Filename:weka-3.6.2-6.fc17.src.rpm

Browse inside weka-3.6.2-6.fc17.src.rpm

960 B2014-11-29HEADER  view  278+ mirrors
435 B2014-11-29weka-3.6.2-build.xml.patch  view  3 mirrors
19.92 MB2014-11-29weka-3-6-2.zip  view  4 mirrors
365 B2014-11-29weka.desktop  view  3 mirrors
5.60 KB2014-11-29weka.spec  view

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