Package elki.clustering.hierarchical

Class ClusterDensityMergeHistory

java.lang.Object

elki.clustering.hierarchical.ClusterMergeHistory

elki.clustering.hierarchical.ClusterDensityMergeHistory

public class ClusterDensityMergeHistory
extends ClusterMergeHistory

Hierarchical clustering merge list, with additional coredists information.

Since:

0.8.0

Author:

Erich Schubert

Field Summary

Fields

Modifier and Type	Field	Description
protected DoubleDataStore	coredists	Core distance information.

Fields inherited from class elki.clustering.hierarchical.ClusterMergeHistory

distances, ids, isSquared, merges, positions, sizes

Constructor Summary

Constructors

Constructor	Description
ClusterDensityMergeHistory(ArrayDBIDs ids, int[] merges, double[] distances, int[] sizes, boolean isSquared, DoubleDataStore coredists)	Constructor.

Method Summary

Modifier and Type	Method	Description
DoubleDataStore	getCoreDistanceStore()	Get the core distances

Methods inherited from class elki.clustering.hierarchical.ClusterMergeHistory

assignVar, getDBIDs, getMergeA, getMergeB, getMergeHeight, getPositions, getSize, isSquared, numMerges, size

Methods inherited from class java.lang.Object

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

Field Detail

coredists

protected DoubleDataStore coredists

Core distance information.

Constructor Detail

ClusterDensityMergeHistory

public ClusterDensityMergeHistory(ArrayDBIDs ids,
                                  int[] merges,
                                  double[] distances,
                                  int[] sizes,
                                  boolean isSquared,
                                  DoubleDataStore coredists)

Constructor.

Parameters:

ids - Initial object ids

merges - Merge history 2*(N-1) values

distances - Distances

sizes - Cluster sizes

isSquared - If distances are squared distances

coredists - Density information

Method Detail

getCoreDistanceStore

public DoubleDataStore getCoreDistanceStore()

Get the core distances

Returns:

Core distances