Description:

Apache Mahout is an Apache Software Foundation project with the goal of creating both a community of users and a scalable, Java-based framework consisting of many machine learning algorithm implementations. The project currently has map-reduce enabled (via Apache Hadoop) implementations of several clustering algorithms (k-Means, Mean-Shift, Fuzzy k-Means), Naïve Bayes and Complementary Naïve Bayes classifiers, collaborative filtering, as well as support for distributed evolutionary computing. We are also planning implementations of neural nets, expectation maximization, hierarchical clustering, Support Vector Machines, regression techniques, and Principal Component Analysis, amongst others.

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Supported Operating Systems:

Agnostic

Tags:

Classification, Clustering, Machine Learning, K Nearest Neighbor Classification, Genetic Algorithms, Nips2008, Mapreduce

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