jsat.clustering.evaluation.intra

Class SoSCentroidDistance

java.lang.Object

jsat.clustering.evaluation.intra.SoSCentroidDistance

All Implemented Interfaces:

IntraClusterEvaluation

public class SoSCentroidDistance
extends Object
implements IntraClusterEvaluation

Evaluates a cluster's validity by computing the sum of squared distances from each point to the mean of the cluster.

Author:

Edward Raff

Constructor Summary

Constructors

Constructor and Description
SoSCentroidDistance() Creates a new MeanCentroidDistance using the EuclideanDistance
SoSCentroidDistance(DistanceMetric dm) Creates a new MeanCentroidDistance.
SoSCentroidDistance(SoSCentroidDistance toCopy) Copy constructor

Method Summary

Modifier and Type	Method and Description
SoSCentroidDistance	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

SoSCentroidDistance

public SoSCentroidDistance()

Creates a new MeanCentroidDistance using the EuclideanDistance

SoSCentroidDistance

public SoSCentroidDistance(DistanceMetric dm)

Creates a new MeanCentroidDistance.

Parameters:

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

SoSCentroidDistance

public SoSCentroidDistance(SoSCentroidDistance 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 SoSCentroidDistance clone()

Specified by:

clone in interface IntraClusterEvaluation

Overrides:

clone in class Object