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

Class HiSC.HiSCClusterOrderEntry

java.lang.Object

de.lmu.ifi.dbs.elki.algorithm.clustering.optics.CorrelationClusterOrderEntry<HiSC.HiSCClusterOrderEntry>

de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.HiSC.HiSCClusterOrderEntry

All Implemented Interfaces:

ClusterOrderEntry<HiSC.HiSCClusterOrderEntry>, TextWriteable, Comparable<HiSC.HiSCClusterOrderEntry>

Enclosing class:

HiSC<V extends NumberVector>

public static class HiSC.HiSCClusterOrderEntry
extends CorrelationClusterOrderEntry<HiSC.HiSCClusterOrderEntry>

Cluster order entry for HiSC.

Author:

Elke Achtert, Erich Schubert

Field Summary

Fields

Modifier and Type	Field and Description
private long[]	commonPreferenceVector The common preference vector of the two objects defining this distance.

Fields inherited from class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.CorrelationClusterOrderEntry

correlationValue, euclideanValue, objectID, predecessorID, SEPARATOR

Constructor Summary

Constructors

Constructor and Description
HiSCClusterOrderEntry(DBID objectID, DBID predecessorID, int correlationValue, double euclideanValue, long[] commonPreferenceVector) Constructs a new CorrelationDistance object.

Method Summary

Modifier and Type	Method and Description
int	compareTo(HiSC.HiSCClusterOrderEntry other)
long[]	getCommonPreferenceVector() Returns the common preference vector of the two objects defining this distance.
String	toString() Returns a string representation of this PreferenceVectorBasedCorrelationDistance.

Methods inherited from class de.lmu.ifi.dbs.elki.algorithm.clustering.optics.CorrelationClusterOrderEntry

equals, getCorrelationValue, getEuclideanValue, getID, getPredecessorID, hashCode, writeToText

Methods inherited from class java.lang.Object

clone, finalize, getClass, notify, notifyAll, wait, wait, wait

Field Detail

commonPreferenceVector

private long[] commonPreferenceVector

The common preference vector of the two objects defining this distance.

Constructor Detail

HiSCClusterOrderEntry

public HiSCClusterOrderEntry(DBID objectID,
                             DBID predecessorID,
                             int correlationValue,
                             double euclideanValue,
                             long[] commonPreferenceVector)

Constructs a new CorrelationDistance object.

Parameters:

correlationValue - the correlation dimension to be represented by the CorrelationDistance

euclideanValue - the Euclidean distance to be represented by the CorrelationDistance

commonPreferenceVector - the common preference vector of the two objects defining this distance

Method Detail

getCommonPreferenceVector

public long[] getCommonPreferenceVector()

Returns the common preference vector of the two objects defining this distance.

Returns:

the common preference vector

toString

public String toString()

Returns a string representation of this PreferenceVectorBasedCorrelationDistance.

Overrides:

toString in class CorrelationClusterOrderEntry<HiSC.HiSCClusterOrderEntry>

Returns:

the correlation value, the Euclidean value and the common preference vector separated by blanks

compareTo

public int compareTo(HiSC.HiSCClusterOrderEntry other)

Specified by:

compareTo in interface Comparable<HiSC.HiSCClusterOrderEntry>

Overrides:

compareTo in class CorrelationClusterOrderEntry<HiSC.HiSCClusterOrderEntry>