jsat.clustering.dissimilarity

Class WardsDissimilarity

java.lang.Object

jsat.clustering.dissimilarity.AbstractClusterDissimilarity

jsat.clustering.dissimilarity.DistanceMetricDissimilarity

jsat.clustering.dissimilarity.LanceWilliamsDissimilarity

jsat.clustering.dissimilarity.WardsDissimilarity

All Implemented Interfaces:

ClusterDissimilarity, UpdatableClusterDissimilarity

public class WardsDissimilarity
extends LanceWilliamsDissimilarity

An implementation of Ward's method for hierarchical clustering. This method merges clusters based on the minimum total variance of the resulting clusters.

Constructor Summary

Constructors

Constructor and Description
WardsDissimilarity()

Method Summary

Modifier and Type	Method and Description
WardsDissimilarity	clone()

Methods inherited from class jsat.clustering.dissimilarity.LanceWilliamsDissimilarity

dissimilarity, dissimilarity, dissimilarity, dissimilarity, dissimilarity

Methods inherited from class jsat.clustering.dissimilarity.DistanceMetricDissimilarity

distance

Methods inherited from class jsat.clustering.dissimilarity.AbstractClusterDissimilarity

createDistanceMatrix, getDistance, setDistance

Methods inherited from class java.lang.Object

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

Methods inherited from interface jsat.clustering.dissimilarity.ClusterDissimilarity

distance

Constructor Detail

WardsDissimilarity

public WardsDissimilarity()

Method Detail

clone

public WardsDissimilarity clone()

Specified by:

clone in interface ClusterDissimilarity

Specified by:

clone in interface UpdatableClusterDissimilarity

Specified by:

clone in class LanceWilliamsDissimilarity