Environment for
DeveLoping
KDD-Applications
Supported by Index-Structures

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 Axis-parallel subspace clustering algorithms The clustering algorithms in this package are instances of both, projected clustering algorithms or subspace clustering algorithms according to the classical but somewhat obsolete classification schema of clustering algorithms for axis-parallel subspaces. 
de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.clique Helper classes for the CLIQUE algorithm. 
 

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

Fields in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace with type parameters of type CLIQUESubspace
private  Clustering<CLIQUESubspace<V>> CLIQUE.result
          The result of the algorithm;
 

Methods in de.lmu.ifi.dbs.elki.algorithm.clustering.subspace that return types with arguments of type CLIQUESubspace
private  Map<CLIQUESubspace<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.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.
 Clustering<CLIQUESubspace<V>> CLIQUE.getResult()
          Returns the result of the algorithm.
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.
protected  Clustering<CLIQUESubspace<V>> CLIQUE.runInTime(Database<V> database)
          Performs the CLIQUE algorithm on the given database.
 

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<CLIQUESubspace<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 that return types with arguments of type CLIQUESubspace
 Map<CLIQUESubspace<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.
 

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.
 


Release 0.2.1 (2009-07-13_1605)