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

Packages that use HierarchicalAxesParallelCorrelationCluster

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.result.clustering	Package to collect result classes for the results of clustering algorithms.

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

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

private HierarchicalAxesParallelCorrelationCluster

DiSH.findParent(Database<V> database, DiSHDistanceFunction<V,DiSHPreprocessor<V,?>> distanceFunction, HierarchicalAxesParallelCorrelationCluster child, Map<BitSet,List<HierarchicalAxesParallelCorrelationCluster>> clustersMap) Returns the parent of the specified cluster

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

private Map<BitSet,List<HierarchicalAxesParallelCorrelationCluster>>	DiSH.extractClusters(Database<V> database, DiSHDistanceFunction<V,DiSHPreprocessor<V,?>> distanceFunction, ClusterOrder<V,PreferenceVectorBasedCorrelationDistance> clusterOrder) Extracts the clusters from the cluster order.
private List<HierarchicalAxesParallelCorrelationCluster>	DiSH.sortClusters(Map<BitSet,List<HierarchicalAxesParallelCorrelationCluster>> clustersMap, int dimensionality) Sets the levels and indices in the clusters and returns a sorted list of the clusters.

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

private HierarchicalAxesParallelCorrelationCluster	DiSH.findParent(Database<V> database, DiSHDistanceFunction<V,DiSHPreprocessor<V,?>> distanceFunction, HierarchicalAxesParallelCorrelationCluster child, Map<BitSet,List<HierarchicalAxesParallelCorrelationCluster>> clustersMap) Returns the parent of the specified cluster
private boolean	DiSH.isParent(Database<V> database, DiSHDistanceFunction<V,DiSHPreprocessor<V,?>> distanceFunction, HierarchicalAxesParallelCorrelationCluster parent, List<HierarchicalAxesParallelCorrelationCluster> children) Returns true, if the specified parent cluster is a parent of one child of the children clusters.

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

private void	DiSH.buildHierarchy(Database<V> database, DiSHDistanceFunction<V,DiSHPreprocessor<V,?>> distanceFunction, List<HierarchicalAxesParallelCorrelationCluster> clusters, int dimensionality) Builds the cluster hierarchy
private void	DiSH.checkClusters(Database<V> database, DiSHDistanceFunction<V,DiSHPreprocessor<V,?>> distanceFunction, Map<BitSet,List<HierarchicalAxesParallelCorrelationCluster>> clustersMap) Removes the clusters with size < minpts from the cluster map and adds them to their parents.
private HierarchicalAxesParallelCorrelationCluster	DiSH.findParent(Database<V> database, DiSHDistanceFunction<V,DiSHPreprocessor<V,?>> distanceFunction, HierarchicalAxesParallelCorrelationCluster child, Map<BitSet,List<HierarchicalAxesParallelCorrelationCluster>> clustersMap) Returns the parent of the specified cluster
private boolean	DiSH.isParent(Database<V> database, DiSHDistanceFunction<V,DiSHPreprocessor<V,?>> distanceFunction, HierarchicalAxesParallelCorrelationCluster parent, List<HierarchicalAxesParallelCorrelationCluster> children) Returns true, if the specified parent cluster is a parent of one child of the children clusters.
private List<HierarchicalAxesParallelCorrelationCluster>	DiSH.sortClusters(Map<BitSet,List<HierarchicalAxesParallelCorrelationCluster>> clustersMap, int dimensionality) Sets the levels and indices in the clusters and returns a sorted list of the clusters.

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

Methods in de.lmu.ifi.dbs.elki.algorithm.result.clustering with parameters of type HierarchicalAxesParallelCorrelationCluster

protected void

HierarchicalAxesParallelCorrelationClusters.writeHeader(PrintStream out, List<AttributeSettings> settings, List<String> headerInformation, HierarchicalAxesParallelCorrelationCluster cluster) Writes a header for the specified cluster providing information concerning the underlying database and the specified parameter-settings.

Constructor parameters in de.lmu.ifi.dbs.elki.algorithm.result.clustering with type arguments of type HierarchicalAxesParallelCorrelationCluster

HierarchicalAxesParallelCorrelationCluster(BitSet preferenceVector, Set<Integer> ids, List<HierarchicalAxesParallelCorrelationCluster> children, List<HierarchicalAxesParallelCorrelationCluster> parents, String label, int level, int levelIndex)
Provides a hierarchical axes parallel correlation cluster that holds the preference vector of this cluster, the ids of the objects belonging to this cluster and the children and parents of this cluster.

HierarchicalAxesParallelCorrelationCluster(BitSet preferenceVector, Set<Integer> ids, List<HierarchicalAxesParallelCorrelationCluster> children, List<HierarchicalAxesParallelCorrelationCluster> parents, String label, int level, int levelIndex)
Provides a hierarchical axes parallel correlation cluster that holds the preference vector of this cluster, the ids of the objects belonging to this cluster and the children and parents of this cluster.

HierarchicalAxesParallelCorrelationClusters(List<HierarchicalAxesParallelCorrelationCluster> rootClusters, ClusterOrder<V,D> clusterOrder, Database<V> db)
Provides a result of a clustering algorithm that computes hierarchical axes parallel correlation clusters from a cluster order.