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 configuration.

Class Summary

Cluster
KMeansClusterer	This class implements the k-means clustering algorithm.
KMeansClusterMapper	The KMeansClusterMapper is responsible for calculating which points belong to which clusters and outputting the information.
KMeansCombiner
KMeansDriver
KMeansMapper
KMeansReducer
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.