org.openimaj.math.statistics.normalisation

Class PerExampleMeanCenter

java.lang.Object

org.openimaj.math.statistics.normalisation.PerExampleMeanCenter

All Implemented Interfaces:

Normaliser

public class PerExampleMeanCenter
extends Object
implements Normaliser

Subtract the mean of each example vector from itself to normalise the vector.

Only use if the data is stationary (i.e., the statistics for each data dimension follow the same distribution).

Author:

Jonathon Hare (jsh2@ecs.soton.ac.uk)

Constructor Summary

Constructors

Constructor and Description
PerExampleMeanCenter()

Method Summary

Modifier and Type	Method and Description
double[]	normalise(double[] vector) Normalise the vector.
double[][]	normalise(double[][] data) Normalise the data.

Methods inherited from class java.lang.Object

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

Constructor Detail

PerExampleMeanCenter

public PerExampleMeanCenter()

Method Detail

normalise

public double[] normalise(double[] vector)

Description copied from interface: Normaliser

Normalise the vector.

Specified by:

normalise in interface Normaliser

Parameters:

vector - the vector

Returns:

the normalised vector

normalise

public double[][] normalise(double[][] data)

Description copied from interface: Normaliser

Normalise the data.

Specified by:

normalise in interface Normaliser

Parameters:

data - the data (one vector per row)

Returns:

the normalised data