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
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