imagingbook.lib.math

Class Statistics

java.lang.Object

imagingbook.lib.math.Statistics

public abstract class Statistics
extends Object

Constructor Summary

Constructors

Constructor and Description
Statistics()

Method Summary

Modifier and Type	Method and Description
static double[][]	covarianceMatrix(double[][] samples) Calculates the covariance matrix for a sequence of sample vectors.
static double	getMax(double[] A)
static float	getMax(float[] A)
static int	getMax(int[] A)
static double	getMin(double[] A)
static float	getMin(float[] A)
static int	getMin(int[] A)

Methods inherited from class java.lang.Object

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

Constructor Detail

Statistics

public Statistics()

Method Detail

getMax

public static int getMax(int[] A)

getMin

public static int getMin(int[] A)

getMax

public static float getMax(float[] A)

getMin

public static float getMin(float[] A)

getMax

public static double getMax(double[] A)

getMin

public static double getMin(double[] A)

covarianceMatrix

public static double[][] covarianceMatrix(double[][] samples)

Calculates the covariance matrix for a sequence of sample vectors. Takes a sequence of n data samples, each of dimension m. The data element samples[i][j] refers to the j-th component of sample i.

Parameters:

samples - Array of m-dimensional vectors (double[n][m]).

Returns:

The covariance matrix (of dimension double{m][m]).