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

Packages that use DendrogramModel

Package	Description
de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction	Extraction of partitional clusterings from hierarchical results.

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

Fields in de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction with type parameters of type DendrogramModel

Modifier and Type	Field and Description
protected Collection<Cluster<DendrogramModel>>	SimplifiedHierarchyExtraction.TempCluster.children (Finished) child clusters

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

Modifier and Type	Method and Description
private Clustering<DendrogramModel>	ExtractFlatClusteringFromHierarchy.extractClusters(DBIDs ids, DBIDDataStore pi, DoubleDataStore lambda) Extract all clusters from the pi-lambda-representation.
private Clustering<DendrogramModel>	HDBSCANHierarchyExtraction.extractClusters(DBIDs ids, DBIDDataStore pi, DoubleDataStore lambda, DoubleDataStore coredist) Extract all clusters from the pi-lambda-representation.
private Clustering<DendrogramModel>	SimplifiedHierarchyExtraction.extractClusters(DBIDs ids, DBIDDataStore pi, DoubleDataStore lambda, DoubleDataStore coredist) Extract all clusters from the pi-lambda-representation.
private Cluster<DendrogramModel>	ExtractFlatClusteringFromHierarchy.makeCluster(DBIDRef lead, double depth, DBIDs members) Make the cluster for the given object
private Cluster<DendrogramModel>	SimplifiedHierarchyExtraction.makeSingletonCluster(DBIDRef lead, double depth) Make the cluster for the given object
Clustering<DendrogramModel>	ExtractFlatClusteringFromHierarchy.run(Database database)
Clustering<DendrogramModel>	HDBSCANHierarchyExtraction.run(Database database)
Clustering<DendrogramModel>	SimplifiedHierarchyExtraction.run(Database database)
private Cluster<DendrogramModel>	SimplifiedHierarchyExtraction.TempCluster.toCluster(Clustering<DendrogramModel> clustering, DBIDRef lead) Make the cluster for the given object

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

Modifier and Type	Method and Description
void	SimplifiedHierarchyExtraction.TempCluster.addChild(Cluster<DendrogramModel> clu) Add a child cluster.
private void	HDBSCANHierarchyExtraction.TempCluster.collectChildren(Clustering<DendrogramModel> clustering, HDBSCANHierarchyExtraction.TempCluster cur, Cluster<DendrogramModel> clus, boolean flatten, boolean hierarchical) Recursive flattening of clusters.
private void	HDBSCANHierarchyExtraction.TempCluster.collectChildren(Clustering<DendrogramModel> clustering, HDBSCANHierarchyExtraction.TempCluster cur, Cluster<DendrogramModel> clus, boolean flatten, boolean hierarchical) Recursive flattening of clusters.
private void	HDBSCANHierarchyExtraction.TempCluster.finalizeCluster(Clustering<DendrogramModel> clustering, Cluster<DendrogramModel> parent, boolean flatten, boolean hierarchical) Make the cluster for the given object
private void	HDBSCANHierarchyExtraction.TempCluster.finalizeCluster(Clustering<DendrogramModel> clustering, Cluster<DendrogramModel> parent, boolean flatten, boolean hierarchical) Make the cluster for the given object
private Cluster<DendrogramModel>	SimplifiedHierarchyExtraction.TempCluster.toCluster(Clustering<DendrogramModel> clustering, DBIDRef lead) Make the cluster for the given object