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

Packages that use ClusterOrder

de.lmu.ifi.dbs.elki.algorithm.clustering	Package collects clustering algorithms.
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 ClusterOrder in de.lmu.ifi.dbs.elki.algorithm.clustering

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

private ClusterOrder<O,D>	OPTICS.clusterOrder Provides the result of the algorithm.
private ClusterOrder<O,D>	DeLiClu.clusterOrder Provides the result of the algorithm.

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

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

private void	DiSH.computeClusters(Database<V> database, ClusterOrder<V,PreferenceVectorBasedCorrelationDistance> clusterOrder) Computes the hierarchical clusters according to the cluster order.
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.

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

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

private ClusterOrder<V,D>

HierarchicalAxesParallelCorrelationClusters.clusterOrder The cluster order.

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

ClusterOrder<V,D>

HierarchicalAxesParallelCorrelationClusters.getClusterOrder() Returns the cluster order.

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

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.