de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical

Interface HierarchicalClusteringAlgorithm<D extends Distance<D>>

Type Parameters:

D - Distance type

All Superinterfaces:

Algorithm, Parameterizable

All Known Implementing Classes:

NaiveAgglomerativeHierarchicalClustering, NaiveAgglomerativeHierarchicalClustering4, SLINK

public interface HierarchicalClusteringAlgorithm<D extends Distance<D>>
extends Algorithm

Interface for hierarchical clustering algorithms. This interface allows the algorithms to be used by e.g. ExtractFlatClusteringFromHierarchy.

Method Summary

Methods

Modifier and Type	Method and Description
D	getDistanceFactory() Return the distance type that will be used by the algorithm.
PointerHierarchyRepresentationResult<D>	run(Database db) Runs the algorithm.

Methods inherited from interface de.lmu.ifi.dbs.elki.algorithm.Algorithm

getInputTypeRestriction

Method Detail

run

PointerHierarchyRepresentationResult<D> run(Database db)

Description copied from interface: Algorithm

Runs the algorithm.

Specified by:

run in interface Algorithm

Parameters:

db - the database to run the algorithm on

Returns:

the Result computed by this algorithm

getDistanceFactory

D getDistanceFactory()

Return the distance type that will be used by the algorithm.

Returns:

Distance factory.