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

Packages that use HierarchicalCorrelationCluster

de.lmu.ifi.dbs.elki.algorithm.clustering.correlation	Package to collect correlation clustering algorithms 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 HierarchicalCorrelationCluster in de.lmu.ifi.dbs.elki.algorithm.clustering.correlation

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

private SortedMap<Integer,List<HierarchicalCorrelationCluster<V>>>

ERiC.extractCorrelationClusters(Database<V> database, int dimensionality) Extracts the correlation clusters and noise from the copac result and returns a mapping of correlation dimension to maps of clusters within this correlation dimension.

Methods in de.lmu.ifi.dbs.elki.algorithm.clustering.correlation with parameters of type HierarchicalCorrelationCluster

private boolean

ERiC.isParent(ERiCDistanceFunction distanceFunction, HierarchicalCorrelationCluster<V> parent, List<HierarchicalCorrelationCluster<V>> 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.correlation with type arguments of type HierarchicalCorrelationCluster

private void	ERiC.buildHierarchy(int dimensionality, SortedMap<Integer,List<HierarchicalCorrelationCluster<V>>> clusterMap)
private boolean	ERiC.isParent(ERiCDistanceFunction distanceFunction, HierarchicalCorrelationCluster<V> parent, List<HierarchicalCorrelationCluster<V>> children) Returns true, if the specified parent cluster is a parent of one child of the children clusters.

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

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

protected void

HierarchicalCorrelationClusters.writeHeader(PrintStream out, List<AttributeSettings> settings, List<String> headerInformation, HierarchicalCorrelationCluster<V> 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 HierarchicalCorrelationCluster

HierarchicalCorrelationCluster(LocalPCA<V> pca, Set<Integer> ids, List<HierarchicalCorrelationCluster<V>> children, List<HierarchicalCorrelationCluster<V>> parents, String label, int level, int levelIndex)
Provides a hierarchical correlation cluster in an arbitrary subspace that holds the basis vectors of this cluster, the similarity matrix for distance computations, the ids of the objects belonging to this cluster and the children and parents of this cluster.

HierarchicalCorrelationCluster(LocalPCA<V> pca, Set<Integer> ids, List<HierarchicalCorrelationCluster<V>> children, List<HierarchicalCorrelationCluster<V>> parents, String label, int level, int levelIndex)
Provides a hierarchical correlation cluster in an arbitrary subspace that holds the basis vectors of this cluster, the similarity matrix for distance computations, the ids of the objects belonging to this cluster and the children and parents of this cluster.

HierarchicalCorrelationClusters(List<HierarchicalCorrelationCluster<V>> rootClusters, Database<V> db)
Provides a result of a clustering algorithm that computes correlation clusters in arbitrary subspaces.