jminhep.cluster
Class Get

java.lang.Object
  jminhep.cluster.Get

public class Get
extends Object

Some useful methods related to the clustering procedure

Constructor Summary

Get()

Method Summary

static double	calcDistance(double[] a1, double[] a2) This method calculates the Euclidean distance between two N-ncolsional vectors.
static double	calcSquaredDistance(double[] a1, double[] a2) This method calculates the squared distance between two N-dimesional vectors.
static double	compactness(double[][] indat, int[] assignment, int numClusters, double[][] clusterCenters) This method returns the cluster compactness

Methods inherited from class java.lang.Object

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

Constructor Detail

Get

public Get()

Method Detail

compactness

public static double compactness(double[][] indat,
                                 int[] assignment,
                                 int numClusters,
                                 double[][] clusterCenters)

This method returns the cluster compactness

Parameters:

indat[][] - data matrix

numClusters - number of clusters

clusterCenters[][] - cluster centers

Returns:

compactness

calcSquaredDistance

public static double calcSquaredDistance(double[] a1,
                                         double[] a2)

This method calculates the squared distance between two N-dimesional vectors.

Parameters:

a1 - the first data vector.

a2 - the second data vector.

Returns:

the squared distance between those vectors.

calcDistance

public static double calcDistance(double[] a1,
                                  double[] a2)

This method calculates the Euclidean distance between two N-ncolsional vectors.

Parameters:

a1 - the first data vector.

a2 - the second data vector.

Returns:

the Euclidean distance between those vectors.