org.neuroph.util.data.norm

Class MaxNormalizer

java.lang.Object

org.neuroph.util.data.norm.MaxNormalizer

All Implemented Interfaces:

Normalizer

public class MaxNormalizer
extends java.lang.Object
implements Normalizer

Max normalization method, which normalize data in regard to max element in training set (by columns) Normalization is done according to formula: normalizedVector[i] = vector[i] / abs(max[i])

Constructor Summary

Constructors

Constructor and Description
MaxNormalizer()

Method Summary

Modifier and Type	Method and Description
void	normalize(DataSet dataSet) Normalize specified data set
double[]	normalizeMax(double[] vector, double[] max)

Methods inherited from class java.lang.Object

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

Constructor Detail

MaxNormalizer

public MaxNormalizer()

Method Detail

normalize

public void normalize(DataSet dataSet)

Description copied from interface: Normalizer

Normalize specified data set

Specified by:

normalize in interface Normalizer

Parameters:

dataSet - data set to normalize

normalizeMax

public double[] normalizeMax(double[] vector,
                             double[] max)