jsat.clustering.evaluation.intra

Interface IntraClusterEvaluation

All Known Implementing Classes:

MaxDistance, MeanCentroidDistance, MeanDistance, SoSCentroidDistance, SumOfSqrdPairwiseDistances

public interface IntraClusterEvaluation

This interface defines the contract for a method to evaluate the intra-cluster distance. This means an evaluation of a single cluster, where a higher value indicates a poorly formed cluster. This evaluation does not take into account any other neighboring clusters

Method Summary

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

Method Detail

evaluate

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

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

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

double evaluate(java.util.List<DataPoint> dataPoints)

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

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

IntraClusterEvaluation clone()