## Package org.apache.mahout.clustering.iterator

Interface Summary
ClusteringPolicy: A ClusteringPolicy captures the semantics of assignment of points to clusters

Class Summary
AbstractClusteringPolicy
CanopyClusteringPolicy: This is a simple maximum likelihood clustering policy, suitable for k-means clustering
CIMapper
CIReducer
ClusteringPolicyWritable
ClusterIterator: This is a clustering iterator which works with a set of Vector data and a prior ClusterClassifier which has been initialized with a set of models.
ClusterWritable
DistanceMeasureCluster
FuzzyKMeansClusteringPolicy: This is a probability-weighted clustering policy, suitable for fuzzy k-means clustering
KMeansClusteringPolicy: This is a simple maximum likelihood clustering policy, suitable for k-means clustering

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