Uses of Class
elki.data.model.DendrogramModel

Packages that use DendrogramModel

Package	Description
elki.clustering.hierarchical.extraction	Extraction of partitional clusterings from hierarchical results.
elki.data.model	Cluster models classes for various algorithms.

Uses of DendrogramModel in elki.clustering.hierarchical.extraction

Fields in elki.clustering.hierarchical.extraction with type parameters of type DendrogramModel

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

Methods in elki.clustering.hierarchical.extraction that return types with arguments of type DendrogramModel

Modifier and Type	Method	Description
Clustering<DendrogramModel>	HDBSCANHierarchyExtraction.autorun(Database database)
Clustering<DendrogramModel>	SimplifiedHierarchyExtraction.autorun(Database database)
private Clustering<DendrogramModel>	AbstractCutDendrogram.Instance.buildFlat(int split, FiniteProgress progress)	Build a flat clustering.
private Clustering<DendrogramModel>	AbstractCutDendrogram.Instance.buildHierarchical(int split, FiniteProgress progress)	Build a hierarchical clustering.
Clustering<DendrogramModel>	AbstractCutDendrogram.Instance.extractClusters()	Extract all clusters from the pi-lambda-representation.
protected Cluster<DendrogramModel>	AbstractCutDendrogram.Instance.makeCluster(int seq, DBIDs members)	Make the cluster for the given object
protected Cluster<DendrogramModel>	SimplifiedHierarchyExtraction.Instance.makeCluster(int seq, double depth, DBIDs members)	Make the cluster for the given object
abstract Clustering<DendrogramModel>	AbstractCutDendrogram.run(ClusterMergeHistory pointerresult)	Process a pointer hierarchy result.
Clustering<DendrogramModel>	AbstractCutDendrogram.run(Database database)	Run the algorithms on a database.
Clustering<DendrogramModel>	CutDendrogramByHeight.run(ClusterMergeHistory merges)
Clustering<DendrogramModel>	CutDendrogramByNumberOfClusters.run(ClusterMergeHistory merges)
Clustering<DendrogramModel>	HDBSCANHierarchyExtraction.Instance.run()	Extract all clusters from the pi-lambda-representation.
Clustering<DendrogramModel>	HDBSCANHierarchyExtraction.run(ClusterMergeHistory merges)	Process an existing result.
Clustering<DendrogramModel>	SimplifiedHierarchyExtraction.Instance.run()	Extract all clusters from the pi-lambda-representation.
Clustering<DendrogramModel>	SimplifiedHierarchyExtraction.run(ClusterMergeHistory merges)	Process an existing result.
protected Cluster<DendrogramModel>	SimplifiedHierarchyExtraction.Instance.toCluster(SimplifiedHierarchyExtraction.TempCluster temp, Clustering<DendrogramModel> clustering)	Make the cluster for the given object

Method parameters in elki.clustering.hierarchical.extraction with type arguments of type DendrogramModel

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

Uses of DendrogramModel in elki.data.model

Subclasses of DendrogramModel in elki.data.model

Modifier and Type	Class	Description
class	PrototypeDendrogramModel	Hierarchical cluster, with prototype.