Apache Mahout A machine learning library that will help you build scalable machine learning libraries
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Apache Mahout Description

Apache Mahout is an open source software library written in the Java programming language and designed to help users build machine learning libraries. Apache Mahout features collaborative filtering, user and item based recommenders, K-Means and Fuzzy K-Means clustering, Mean Shift clustering, Dirichlet process clustering, Latent Dirichlet allocation, singular value decomposition, parallel frequent pattern mining, complementary Naive Bayes classifier, and random forest decision tree-based classifier. Moreover, the project includes high performance Java collections (previously known as colt collections), a vibrant community, and many more other cool stuff for your to discover. It is distributed as a standalone application by the Apache Software Foundation.

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