componentMahout

Preface

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)

Installation

Prerequesites

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/

Configuration

Examples

Data set

Use Movielens data sets available at http://www.grouplens.org/node/73