Uses of Class
elki.clustering.subspace.PROCLUS.PROCLUSCluster
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Packages that use PROCLUS.PROCLUSCluster Package Description elki.clustering.subspace Axis-parallel subspace clustering algorithms. -
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Uses of PROCLUS.PROCLUSCluster in elki.clustering.subspace
Methods in elki.clustering.subspace that return types with arguments of type PROCLUS.PROCLUSCluster Modifier and Type Method Description private java.util.ArrayList<PROCLUS.PROCLUSCluster>
PROCLUS. assignPoints(ArrayDBIDs m_current, long[][] dimensions, Relation<? extends NumberVector> database)
Assigns the objects to the clusters.private java.util.List<PROCLUS.PROCLUSCluster>
PROCLUS. finalAssignment(java.util.List<Pair<double[],long[]>> dimensions, Relation<? extends NumberVector> database)
Refinement step to assign the objects to the final clusters.Method parameters in elki.clustering.subspace with type arguments of type PROCLUS.PROCLUSCluster Modifier and Type Method Description private DBIDs
PROCLUS. computeBadMedoids(ArrayDBIDs m_current, java.util.ArrayList<PROCLUS.PROCLUSCluster> clusters, int threshold)
Computes the bad medoids, where the medoid of a cluster with less than the specified threshold of objects is bad.private double
PROCLUS. evaluateClusters(java.util.ArrayList<PROCLUS.PROCLUSCluster> clusters, long[][] dimensions, Relation<? extends NumberVector> database)
Evaluates the quality of the clusters.private java.util.List<Pair<double[],long[]>>
PROCLUS. findDimensions(java.util.ArrayList<PROCLUS.PROCLUSCluster> clusters, Relation<? extends NumberVector> database)
Refinement step that determines the set of correlated dimensions for each cluster centroid.
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