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| 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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