componentMahout
Patrik Schmidt edited this page Aug 22, 2013
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Mahout is a scalable machine learning framework with tons of nifty algorithms:
- 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)
To get the full power it is mandatory to use Hadoop and it's Map/Reduce pipeline.
Download Mahout 0.8 from http://mirror.synyx.de/apache/mahout/
Use Movielens data sets available at http://www.grouplens.org/node/73