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  
DirichletClusteringPolicy  
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
MeanShiftClusteringPolicy This is a simple maximum likelihood clustering policy, suitable for k-means clustering
 



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