commonSense.math.linear
Class Distances

java.lang.Object
  commonSense.math.linear.Distances

public class Distances

extends java.lang.Object

Method Summary

static double[]	euclidean(Matrix a) Calculates the euclidean distance of a sample, and returns the non-squared distance.
static double[]	mahalanobis(Matrix a) Calculates the mahalanobis distance of a sample, and returns the non-squared distance.
static double[]	mahalanobis(Matrix a, Matrix covar) Calculates the mahalanobis distance of a sample, and returns the non-squared distance.

Methods inherited from class java.lang.Object

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

Method Detail

mahalanobis

public static double[] mahalanobis(Matrix a,
                                   Matrix covar)

Calculates the mahalanobis distance of a sample, and returns the non-squared distance.

Parameters:

a - The matrix of which the distances need to be calculated.

covar - The covariance matrix of matrix 'a' to avoid duplication of calculation efforts.

mahalanobis

public static double[] mahalanobis(Matrix a)

Calculates the mahalanobis distance of a sample, and returns the non-squared distance.

Parameters:

a - The matrix of which the distances need to be calculated.

euclidean

public static double[] euclidean(Matrix a)

Calculates the euclidean distance of a sample, and returns the non-squared distance.

Parameters:

a - The matrix of which the distances need to be calculated.