Uses of Class
de.lmu.ifi.dbs.elki.data.model.DendrogramModel

Packages that use DendrogramModel

Package	Description
de.lmu.ifi.dbs.elki.algorithm.clustering	Clustering algorithms.

Uses of DendrogramModel in de.lmu.ifi.dbs.elki.algorithm.clustering

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

Modifier and Type	Method and Description
private Clustering<DendrogramModel<D>>	SLINK.extractClusters(DBIDs ids, DBIDDataStore pi, DataStore<D> lambda, int minclusters) Extract all clusters from the pi-lambda-representation.
private Clustering<DendrogramModel<D>>	SLINK.extractClustersDouble(DBIDs ids, DBIDDataStore pi, DoubleDistanceDataStore lambda, int minclusters) Extract all clusters from the pi-lambda-representation.
private Cluster<DendrogramModel<D>>	SLINK.makeCluster(DBIDRef lead, D depth, DBIDs members, ModifiableHierarchy<Cluster<DendrogramModel<D>>> hier) Make the cluster for the given object

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

Modifier and Type	Method and Description
private Cluster<DendrogramModel<D>>	SLINK.makeCluster(DBIDRef lead, D depth, DBIDs members, ModifiableHierarchy<Cluster<DendrogramModel<D>>> hier) Make the cluster for the given object