Uses of Class
de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.PointerHierarchyRepresentationResult

Packages that use PointerHierarchyRepresentationResult

Package	Description
de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical
tutorial.clustering	Classes from the tutorial on implementing a custom k-means variation.

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

Methods in de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical that return PointerHierarchyRepresentationResult

Modifier and Type	Method and Description
PointerHierarchyRepresentationResult<D>	HierarchicalClusteringAlgorithm.run(Database db)
PointerHierarchyRepresentationResult<D>	SLINK.run(Database database, Relation<O> relation) Performs the SLINK algorithm on the given database.
PointerHierarchyRepresentationResult<DoubleDistance>	NaiveAgglomerativeHierarchicalClustering.run(Database db, Relation<O> relation) Run the algorithm

Uses of PointerHierarchyRepresentationResult in tutorial.clustering

Methods in tutorial.clustering that return PointerHierarchyRepresentationResult

Modifier and Type	Method and Description
PointerHierarchyRepresentationResult<DoubleDistance>	NaiveAgglomerativeHierarchicalClustering4.run(Database db, Relation<O> relation) Run the algorithm