Uses of Class
de.lmu.ifi.dbs.elki.algorithm.result.clustering.CLIQUEModel

Packages that use CLIQUEModel

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.

Uses of CLIQUEModel 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 CLIQUEModel

private Map<CLIQUEModel<V>,Set<Integer>>

CLIQUE.determineClusters(Database<V> database, SortedSet<CLIQUESubspace<V>> denseSubspaces) Determines the clusters in the specified dense subspaces.

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

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

Map<CLIQUEModel<V>,Set<Integer>>

CLIQUESubspace.determineClusters(Database<V> database) Determines all clusters in this subspace by performing a depth-first search algorithm to find connected dense units.