Uses of Class
elki.data.model.DendrogramModel
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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. -
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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 clustersMethods 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 objectprotected Cluster<DendrogramModel>
SimplifiedHierarchyExtraction.Instance. makeCluster(int seq, double depth, DBIDs members)
Make the cluster for the given objectabstract 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 objectMethod 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 objectprivate double
HDBSCANHierarchyExtraction.Instance. finalizeCluster(HDBSCANHierarchyExtraction.TempCluster temp, Clustering<DendrogramModel> clustering, WritableDoubleDataStore glosh, Cluster<DendrogramModel> parent, boolean flatten)
Make the cluster for the given objectprotected 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.
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