jsat.clustering.dissimilarity

Class DistanceMetricDissimilarity

java.lang.Object

jsat.clustering.dissimilarity.AbstractClusterDissimilarity

jsat.clustering.dissimilarity.DistanceMetricDissimilarity

All Implemented Interfaces:

ClusterDissimilarity

Direct Known Subclasses:

LanceWilliamsDissimilarity

public abstract class DistanceMetricDissimilarity
extends AbstractClusterDissimilarity

A base class for Dissimilarity measures that are build ontop the use of some distance metric.

Constructor Summary

Constructors

Constructor and Description
DistanceMetricDissimilarity(DistanceMetric dm)

Method Summary

Modifier and Type	Method and Description
abstract DistanceMetricDissimilarity	clone()
double	distance(DataPoint a, DataPoint b) Provides the notion of distance, or dissimilarity, between two data points

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

dissimilarity, dissimilarity

Constructor Detail

DistanceMetricDissimilarity

public DistanceMetricDissimilarity(DistanceMetric dm)

Method Detail

distance

public double distance(DataPoint a,
                       DataPoint b)

Description copied from interface: ClusterDissimilarity

Provides the notion of distance, or dissimilarity, between two data points

Parameters:

a - the first data point

b - the second data point

Returns:

a value >= 0 that is a measure of the difference between the two points. The closer to zero, the more similar the points are.

clone

public abstract DistanceMetricDissimilarity clone()

Specified by:

clone in interface ClusterDissimilarity

Specified by:

clone in class AbstractClusterDissimilarity