Apache Mahout has reached version 0.7. All developers are encouraged to begin using version 0.7. Highlights include:
-Outlier removal capability in K-Means, Fuzzy K, Canopy and Dirichlet Clustering -New Clustering implementation for K-Means, Fuzzy K, Canopy and Dirichlet using Cluster Classifiers -Collections and Math api consolidated -(Complementary) Naive Bayes refactored and cleaned -Watchmaker and Old Naive Bayes dropped. -Many bug fixes, refactorings, and other small improvements Changes in 0.7 are detailed in the release notes<https://issues.apache.org/jira/secure/ReleaseNote.jspa?projectId=12310751&version=12319261>. Downloads of all releases available from Apache mirrors<http://www.apache.org/dyn/closer.cgi/mahout/>. Enjoy! Regards, Paritosh
