Uses of Class
elki.clustering.subspace.clique.CLIQUESubspace
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Packages that use CLIQUESubspace Package Description elki.clustering.subspace Axis-parallel subspace clustering algorithms.elki.clustering.subspace.clique Helper classes for theCLIQUE
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Uses of CLIQUESubspace in elki.clustering.subspace
Methods in elki.clustering.subspace that return types with arguments of type CLIQUESubspace Modifier and Type Method Description private java.util.List<CLIQUESubspace>
CLIQUE. findDenseSubspaceCandidates(Relation<? extends NumberVector> database, java.util.List<CLIQUESubspace> denseSubspaces)
Determines thek
-dimensional dense subspace candidates from the specified(k-1)
-dimensional dense subspaces.private java.util.List<CLIQUESubspace>
CLIQUE. findDenseSubspaces(Relation<? extends NumberVector> database, java.util.List<CLIQUESubspace> denseSubspaces)
Determines thek
-dimensional dense subspaces and performs a pruning if this option is chosen.private java.util.List<CLIQUESubspace>
CLIQUE. findOneDimensionalDenseSubspaceCandidates(Relation<? extends NumberVector> database)
Determines the one-dimensional dense subspace candidates by making a pass over the database.private java.util.List<CLIQUESubspace>
CLIQUE. findOneDimensionalDenseSubspaces(Relation<? extends NumberVector> database)
Determines the one dimensional dense subspaces and performs a pruning if this option is chosen.private java.util.List<CLIQUESubspace>
CLIQUE. pruneDenseSubspaces(java.util.List<CLIQUESubspace> denseSubspaces)
Performs a MDL-based pruning of the specified dense subspaces as described in the CLIQUE algorithm.Method parameters in elki.clustering.subspace with type arguments of type CLIQUESubspace Modifier and Type Method Description private double[][]
CLIQUE. computeDiffs(java.util.List<CLIQUESubspace> denseSubspaces, int[] mi, int[] mp)
The specified sorted list of dense subspaces is divided into the selected set I and the pruned set P.private int[][]
CLIQUE. computeMeans(java.util.List<CLIQUESubspace> denseSubspaces)
The specified sorted list of dense subspaces is divided into the selected set I and the pruned set P.private java.util.List<Pair<Subspace,ModifiableDBIDs>>
CLIQUE. determineClusters(java.util.List<CLIQUESubspace> denseSubspaces)
Determines the clusters in the specified dense subspaces.private java.util.List<CLIQUESubspace>
CLIQUE. findDenseSubspaceCandidates(Relation<? extends NumberVector> database, java.util.List<CLIQUESubspace> denseSubspaces)
Determines thek
-dimensional dense subspace candidates from the specified(k-1)
-dimensional dense subspaces.private java.util.List<CLIQUESubspace>
CLIQUE. findDenseSubspaces(Relation<? extends NumberVector> database, java.util.List<CLIQUESubspace> denseSubspaces)
Determines thek
-dimensional dense subspaces and performs a pruning if this option is chosen.private java.util.List<CLIQUESubspace>
CLIQUE. pruneDenseSubspaces(java.util.List<CLIQUESubspace> denseSubspaces)
Performs a MDL-based pruning of the specified dense subspaces as described in the CLIQUE algorithm. -
Uses of CLIQUESubspace in elki.clustering.subspace.clique
Fields in elki.clustering.subspace.clique with type parameters of type CLIQUESubspace Modifier and Type Field Description static java.util.Comparator<CLIQUESubspace>
CLIQUESubspace. BY_COVERAGE
A partial comparator for CLIQUESubspaces based on their coverage.Methods in elki.clustering.subspace.clique that return CLIQUESubspace Modifier and Type Method Description CLIQUESubspace
CLIQUESubspace. join(CLIQUESubspace other, double all, double tau)
Joins this subspace and its dense units with the specified subspace and its dense units.Methods in elki.clustering.subspace.clique with parameters of type CLIQUESubspace Modifier and Type Method Description void
CLIQUESubspace. dfs(CLIQUEUnit unit, ModifiableDBIDs cluster, CLIQUESubspace model)
Depth-first search algorithm to find connected dense units in this subspace that build a cluster.CLIQUESubspace
CLIQUESubspace. join(CLIQUESubspace other, double all, double tau)
Joins this subspace and its dense units with the specified subspace and its dense units.
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