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