Mahout_0.2

After you've done the QuickStart and are familiar with the basics of Mahout, it is time to build a classifier from your own data.

The following pieces may be useful for in getting started:

Input

For starters, you will need your data in an appropriate Vector format (which has changed since Mahout 0.1)

• See Creating Vectors

Text Preparation

• See Creating Vectors from Text
• http://www.lucidimagination.com/search/document/4a0e528982b2dac3/document_clustering

Running the Process

Naive Bayes

Background: Naive Bayes Classification

Documentation of running naive bayes from the command line: bayesian-commandline

C-Bayes

Background: C-Bayes Classification

Documentation of running c-bayes from the command line: c-bayes-commandline

Random Forests

Background: Random Forests Classification

Documentation of running random forests from the command line: random-forests-commandline