| ClusteringAlgorithm |
Strategy interface for clustering algorithms.
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| FeatureBasedClusterer |
Facade for clustering objects represented by float feature vectors.
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| GeneralisedKMeans |
Contains the outline of the k-means algorithm, but designed for customisation.
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| GreedyClustering |
Greedy clustering algorithm.
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| Point |
Immutable coordinate point used by the clustering utilities.
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| Point.Factory |
Simple factory that generates consecutive ids and ensures consistent dimensionality.
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| PointDistanceCache |
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| RandomClustering |
Randomly assigns each item to one of k clusters.
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