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

Class CutDendrogramByHeight

java.lang.Object

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

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

All Implemented Interfaces:

Algorithm, ClusteringAlgorithm<Clustering<DendrogramModel>>

public class CutDendrogramByHeight
extends AbstractCutDendrogram
implements ClusteringAlgorithm<Clustering<DendrogramModel>>

Extract a flat clustering from a full hierarchy, represented in pointer form.

Since:

0.7.5

Author:

Erich Schubert

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
protected class	CutDendrogramByHeight.Instance Instance for a single data set.
static class	CutDendrogramByHeight.Parameterizer Parameterization class.

Field Summary

Fields

Modifier and Type	Field and Description
private static Logging	LOG Class logger.
private double	threshold Threshold for extracting clusters.

Fields inherited from class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction.AbstractCutDendrogram

algorithm, hierarchical

Constructor Summary

Constructors

Constructor and Description
CutDendrogramByHeight(HierarchicalClusteringAlgorithm algorithm, double threshold, boolean hierarchical) Constructor.

Method Summary

Modifier and Type	Method and Description
protected Logging	getLogger()
Clustering<DendrogramModel>	run(PointerHierarchyRepresentationResult pointerresult) Process a pointer hierarchy result.

Methods inherited from class de.lmu.ifi.dbs.elki.algorithm.clustering.hierarchical.extraction.AbstractCutDendrogram

getInputTypeRestriction, run

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Methods inherited from interface de.lmu.ifi.dbs.elki.algorithm.clustering.ClusteringAlgorithm

run

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

getInputTypeRestriction

Field Detail

LOG

private static final Logging LOG

Class logger.

threshold

private final double threshold

Threshold for extracting clusters.

Constructor Detail

CutDendrogramByHeight

public CutDendrogramByHeight(HierarchicalClusteringAlgorithm algorithm,
                             double threshold,
                             boolean hierarchical)

Constructor.

Parameters:

algorithm - Algorithm to run

threshold - Distance threshold

hierarchical - Produce a hierarchical output

Method Detail

run

public Clustering<DendrogramModel> run(PointerHierarchyRepresentationResult pointerresult)

Description copied from class: AbstractCutDendrogram

Process a pointer hierarchy result.

Specified by:

run in class AbstractCutDendrogram

Parameters:

pointerresult - Hierarchical result in pointer representation.

Returns:

Clustering

getLogger

protected Logging getLogger()

Specified by:

getLogger in class AbstractCutDendrogram