Uses of Class
de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.clique.CLIQUESubspace

Packages that use CLIQUESubspace

de.lmu.ifi.dbs.elki.algorithm.clustering.subspace	Package to collect algorithms for clustering in axis-parallel subspaces, suitable as a task for the KDDTask main routine.
de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.clique	Helper classes for the CLIQUE algorithm.
de.lmu.ifi.dbs.elki.algorithm.result.clustering	Package to collect result classes for the results of clustering algorithms.

Uses of CLIQUESubspace in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace

Methods in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace that return types with arguments of type CLIQUESubspace

private SortedSet<CLIQUESubspace<V>>	CLIQUE.findDenseSubspaceCandidates(Database<V> database, Set<CLIQUESubspace<V>> denseSubspaces) Determines the k-dimensional dense subspace candidates.
private SortedSet<CLIQUESubspace<V>>	CLIQUE.findDenseSubspaces(Database<V> database, SortedSet<CLIQUESubspace<V>> denseSubspaces) Determines the k>1 dimensional dense subspaces and performs a pruning if this option is chosen.
private SortedSet<CLIQUESubspace<V>>	CLIQUE.findOneDimensionalDenseSubspaceCandidates(Database<V> database) Determines the one-dimensional dense subspace candidates by making a pass over the database.
private SortedSet<CLIQUESubspace<V>>	CLIQUE.findOneDimensionalDenseSubspaces(Database<V> database) Determines the one dimensional dense subspaces and performs a pruning if this option is chosen.
private SortedSet<CLIQUESubspace<V>>	CLIQUE.pruneDenseSubspaces(SortedSet<CLIQUESubspace<V>> denseSubspaces) Performs a MDL-based pruning of the specified dense sunspaces as described in the CLIQUE algorithm.

Method parameters in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace with type arguments of type CLIQUESubspace

private double[][]	CLIQUE.computeDiffs(SortedSet<CLIQUESubspace<V>> denseSubspaces, int[] mi, int[] mp) The specified sorted set of dense subspaces is divided into the selected set I and the pruned set P.
private int[][]	CLIQUE.computeMeans(SortedSet<CLIQUESubspace<V>> denseSubspaces) The specified sorted set of dense subspaces is divided into the selected set I and the pruned set P.
private Map<CLIQUEModel<V>,Set<Integer>>	CLIQUE.determineClusters(Database<V> database, SortedSet<CLIQUESubspace<V>> denseSubspaces) Determines the clusters in the specified dense subspaces.
private SortedSet<CLIQUESubspace<V>>	CLIQUE.findDenseSubspaceCandidates(Database<V> database, Set<CLIQUESubspace<V>> denseSubspaces) Determines the k-dimensional dense subspace candidates.
private SortedSet<CLIQUESubspace<V>>	CLIQUE.findDenseSubspaces(Database<V> database, SortedSet<CLIQUESubspace<V>> denseSubspaces) Determines the k>1 dimensional dense subspaces and performs a pruning if this option is chosen.
private SortedSet<CLIQUESubspace<V>>	CLIQUE.pruneDenseSubspaces(SortedSet<CLIQUESubspace<V>> denseSubspaces) Performs a MDL-based pruning of the specified dense sunspaces as described in the CLIQUE algorithm.

Uses of CLIQUESubspace in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.clique

Methods in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.clique that return CLIQUESubspace

CLIQUESubspace<V>

CLIQUESubspace.join(CLIQUESubspace<V> other, double all, double tau) Joins this subspace with the specified subspace.

Methods in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.clique with parameters of type CLIQUESubspace

int	CLIQUESubspace.compareTo(CLIQUESubspace<V> other) Compares this subspace with the specified subspace for order.
CLIQUESubspace<V>	CLIQUESubspace.join(CLIQUESubspace<V> other, double all, double tau) Joins this subspace with the specified subspace.

Uses of CLIQUESubspace in de.lmu.ifi.dbs.elki.algorithm.result.clustering

Fields in de.lmu.ifi.dbs.elki.algorithm.result.clustering declared as CLIQUESubspace

private CLIQUESubspace<V>

CLIQUEModel.subspace The supspace of this model.

Methods in de.lmu.ifi.dbs.elki.algorithm.result.clustering that return CLIQUESubspace

CLIQUESubspace<V>

CLIQUEModel.getSubspace() Returns the subspace of this model.

Constructors in de.lmu.ifi.dbs.elki.algorithm.result.clustering with parameters of type CLIQUESubspace

CLIQUEModel(Database<V> db, CLIQUESubspace<V> subspace)
Creates a new cluster model for a cluster in the CLIQUE algorithm with the specified parameters.