Mloss is a community effort at producing reproducible research via open source software, open access to data and results, and open standards for interchange.
Mahout currently has Collaborative Filtering User and Item based recommenders K-Means, Fuzzy K-Means clustering Mean Shift clustering Dirichlet process clustering Latent Dirichlet Allocation Singular value decomposition Parallel Frequent Pattern mining Complementary Naive Bayes classifier Random forest decision tree based classifier High performance java collections (previously colt collections) A vibrant community and many more cool stuff to come by this summer thanks to Google summer of code
A. Coates, H. Lee, und A. Ng. Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, Volume 15 von JMLR Workshop and Conference Proceedings, Seite 215--223. JMLR W&CP, (2011)
J. Tang, M. Hong, J. Li, und B. Liang. International Semantic Web Conference, Volume 4273 von Lecture Notes in Computer Science, Seite 640-653. Springer, (2006)