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.



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