org.neuroph.util.data.norm

Class MaxMinNormalizer

java.lang.Object

org.neuroph.util.data.norm.MaxMinNormalizer

All Implemented Interfaces:

Serializable, Normalizer

public class MaxMinNormalizer
extends Object
implements Normalizer, Serializable

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]

Author:

Zoran Sevarac

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
MaxMinNormalizer(DataSet dataSet)

Method Summary

Modifier and Type	Method and Description
double[]	getMaxIn()
double[]	getMaxOut()
double[]	getMinIn()
double[]	getMinOut()
void	normalize(DataSet dataSet) Normalize specified data set

Methods inherited from class java.lang.Object

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

Constructor Detail

MaxMinNormalizer

public MaxMinNormalizer(DataSet dataSet)

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

getMaxIn

public double[] getMaxIn()

getMaxOut

public double[] getMaxOut()

getMinIn

public double[] getMinIn()

getMinOut

public double[] getMinOut()