## Package org.apache.mahout.clustering.kmeans

This package provides an implementation of the k-means clustering algorithm.

See:
Description

Interface Summary
KMeansConfigKeys: This class holds all config keys that are relevant to be used in the KMeans MapReduce JobConf.

Class Summary
Cluster
KMeansClusterer: This class implements the k-means clustering algorithm.
KMeansClusterMapper
KMeansCombiner
KMeansDriver
KMeansMapper
KMeansReducer
OutputLogFilter
RandomSeedGenerator: Given an Input Path containing a `SequenceFile`, randomly select k vectors and write them to the output file as a `Cluster` representing the initial centroid to use.

## Package org.apache.mahout.clustering.kmeans Description

This package provides an implementation of the k-means clustering algorithm.

Copyright © 2008-2010 The Apache Software Foundation. All Rights Reserved.