Package elki.clustering.kmeans.initialization.betula

Class SquaredEuclideanWeight

java.lang.Object

elki.clustering.kmeans.initialization.betula.SquaredEuclideanWeight

All Implemented Interfaces:

CFInitWeight

@Reference(authors="Andreas Lang and Erich Schubert",
           title="BETULA: Fast Clustering of Large Data with Improved BIRCH CF-Trees",
           booktitle="Information Systems",
           url="https://doi.org/10.1016/j.is.2021.101918",
           bibkey="DBLP:journals/is/LangS22")
public class SquaredEuclideanWeight
extends java.lang.Object
implements CFInitWeight

Use the squared Euclidean distance only for distance measurement.

References:

Andreas Lang and Erich Schubert
BETULA: Fast Clustering of Large Data with Improved BIRCH CF-Trees
Information Systems

Since:

0.8.0

Author:

Andreas Lang

Constructor Summary

Constructors

Constructor	Description
SquaredEuclideanWeight()

Method Summary

Modifier and Type	Method	Description
double	squaredWeight(ClusterFeature c1, ClusterFeature c2)	Distance between two clustering features.

Methods inherited from class java.lang.Object

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

Constructor Detail

SquaredEuclideanWeight

public SquaredEuclideanWeight()

Method Detail

squaredWeight

public double squaredWeight(ClusterFeature c1,
                            ClusterFeature c2)

Description copied from interface: CFInitWeight

Distance between two clustering features.

Specified by:

squaredWeight in interface CFInitWeight

Parameters:

c1 - Previously chosen clustering feature

c2 - Candidate clustering feature

Returns:

Weight