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

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

See:
Description

Class Summary
EigenSeedGenerator: Given an Input Path containing a `SequenceFile`, select k vectors and write them to the output file as a `Kluster` representing the initial centroid to use.
Kluster
KMeansConfigKeys: This class holds all config keys that are relevant to be used in the KMeans MapReduce configuration.
KMeansDriver
RandomSeedGenerator: Given an Input Path containing a `SequenceFile`, randomly select k vectors and write them to the output file as a `Kluster` 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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