jsat.clustering.evaluation.intra

Class MaxDistance

java.lang.Object

jsat.clustering.evaluation.intra.MaxDistance

All Implemented Interfaces:

IntraClusterEvaluation

public class MaxDistance
extends Object
implements IntraClusterEvaluation

Evaluates a cluster's validity by returning the maximum distance between any two points in the cluster.

Author:

Edward Raff

Constructor Summary

Constructors

Constructor and Description
MaxDistance() Creates a new MaxDistance measure using the EuclideanDistance
MaxDistance(DistanceMetric dm) Creates a new MaxDistance
MaxDistance(MaxDistance toCopy) Copy constructor

Method Summary

Modifier and Type	Method and Description
MaxDistance	clone()
double	evaluate(int[] designations, DataSet dataSet, int clusterID) Evaluates the cluster represented by the given list of data points.
double	evaluate(List<DataPoint> dataPoints) Evaluates the cluster represented by the given list of data points.

Methods inherited from class java.lang.Object

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

Constructor Detail

MaxDistance

public MaxDistance()

Creates a new MaxDistance measure using the EuclideanDistance

MaxDistance

public MaxDistance(DistanceMetric dm)

Creates a new MaxDistance

Parameters:

dm - the metric to measure the distance between two points by

MaxDistance

public MaxDistance(MaxDistance toCopy)

Copy constructor

Parameters:

toCopy - the object to copy

Method Detail

evaluate

public double evaluate(int[] designations,
                       DataSet dataSet,
                       int clusterID)

Description copied from interface: IntraClusterEvaluation

Evaluates the cluster represented by the given list of data points.

Specified by:

evaluate in interface IntraClusterEvaluation

Parameters:

designations - the array of cluster designations for the data set

dataSet - the full data set of all clusters

clusterID - the cluster id in the designations array to return the evaluation of

Returns:

the value in the range [0, Inf) that indicates how well formed the cluster is.

evaluate

public double evaluate(List<DataPoint> dataPoints)

Description copied from interface: IntraClusterEvaluation

Evaluates the cluster represented by the given list of data points.

Specified by:

evaluate in interface IntraClusterEvaluation

Parameters:

dataPoints - the data points that make up this cluster

Returns:

the value in the range [0, Inf) that indicates how well formed the cluster is.

clone

public MaxDistance clone()

Specified by:

clone in interface IntraClusterEvaluation

Overrides:

clone in class Object