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Weka is a collection of machine learning algorithms for data mining tasks implemented in javaWeka is a collection of machine learning algorithms for data mining tasks implemented in java. 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.
Version: 3.6.4 License: GPL GitHubMaintainers | No Maintainer |
Categories | science java |
Homepage | http://www.cs.waikato.ac.nz/ml/weka/ |
Platforms | darwin |
Variants | - |
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