org.neuroph.util.data.norm

Class MaxMinNormalizer

java.lang.Object

org.neuroph.util.data.norm.MaxMinNormalizer

All Implemented Interfaces:

Normalizer

public class MaxMinNormalizer
extends java.lang.Object
implements Normalizer

MaxMin normalization method, which normalize data in regard to min and max elements in training set (by columns) Normalization is done according to formula: normalizedVector[i] = (vector[i] - min[i]) / (max[i] - min[i]) This class works fine if max and min are both positive and we want to normalize to [0,1]

Constructor Summary

Constructors

Constructor and Description
MaxMinNormalizer()

Method Summary

Modifier and Type	Method and Description
void	normalize(DataSet dataSet) Normalize specified data set

Methods inherited from class java.lang.Object

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

Constructor Detail

MaxMinNormalizer

public MaxMinNormalizer()

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