Project details for Apache Mahout

Logo Apache Mahout 0.1

by gsingers - September 30, 2008, 02:03:30 CET [ Project Homepage BibTeX Download ]

view ( today), download ( today ), 0 subscriptions


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, Dirichlet, Canopy), 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.

Changes to previous version:

First official public release

BibTeX Entry: Download
Supported Operating Systems: Agnostic
Data Formats: None
Tags: Classification, Clustering, Machine Learning, K Nearest Neighbor Classification, Genetic Algorithms, Mapreduce, Collaborative Filtering
Archive: download here


No one has posted any comments yet. Perhaps you'd like to be the first?

Leave a comment

You must be logged in to post comments.