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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>
8 lines
403 B
Plaintext
8 lines
403 B
Plaintext
Weka is a collection of machine learning algorithms for data mining tasks. The
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algorithms can either be applied directly to a dataset or called from your own
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Java code. Weka contains tools for data pre-processing, classification,
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regression, clustering, association rules, and visualization. It is also
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well-suited for developing new machine learning schemes.
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WWW: http://www.cs.waikato.ac.nz/ml/weka/
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