Package elki.index.tree.betula.distance

Class BIRCHVarianceIncreaseDistance

java.lang.Object

elki.index.tree.betula.distance.BIRCHVarianceIncreaseDistance

All Implemented Interfaces:

CFDistance

@Priority(-100)
@Reference(authors="T. Zhang",
           title="Data Clustering for Very Large Datasets Plus Applications",
           booktitle="University of Wisconsin Madison, Technical Report #1355",
           url="ftp://ftp.cs.wisc.edu/pub/techreports/1997/TR1355.pdf",
           bibkey="tr/wisc/Zhang97")
public class BIRCHVarianceIncreaseDistance
extends java.lang.Object
implements CFDistance

Variance increase distance.

Reference:

Data Clustering for Very Large Datasets Plus Applications
T. Zhang
Doctoral Dissertation, 1997.

Since:

0.8.0

Author:

Erich Schubert

Nested Class Summary

Nested Classes

Modifier and Type	Class	Description
static class	BIRCHVarianceIncreaseDistance.Par	Parameterization class.

Field Summary

Fields

Modifier and Type	Field	Description
static BIRCHVarianceIncreaseDistance	STATIC	Static instance.

Constructor Summary

Constructors

Constructor	Description
BIRCHVarianceIncreaseDistance()

Method Summary

Modifier and Type	Method	Description
double	squaredDistance(NumberVector v, ClusterFeature ocf)	Distance of a vector to a clustering feature.
double	squaredDistance(ClusterFeature ocf1, ClusterFeature ocf2)	Distance between two clustering features.

Methods inherited from class java.lang.Object

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

Methods inherited from interface elki.index.tree.betula.distance.CFDistance

matSelfInit

Field Detail

STATIC

public static final BIRCHVarianceIncreaseDistance STATIC

Static instance.

Constructor Detail

BIRCHVarianceIncreaseDistance

public BIRCHVarianceIncreaseDistance()

Method Detail

squaredDistance

public double squaredDistance(NumberVector v,
                              ClusterFeature ocf)

Description copied from interface: CFDistance

Distance of a vector to a clustering feature.

Specified by:

squaredDistance in interface CFDistance

Parameters:

v - Vector

ocf - Clustering Feature

Returns:

Distance

squaredDistance

public double squaredDistance(ClusterFeature ocf1,
                              ClusterFeature ocf2)

Description copied from interface: CFDistance

Distance between two clustering features.

Specified by:

squaredDistance in interface CFDistance

Parameters:

ocf1 - First clustering feature

ocf2 - Second clustering feature

Returns:

Distance