org.neuroph.util.data.norm

Class DecimalScaleNormalizer

java.lang.Object

org.neuroph.util.data.norm.DecimalScaleNormalizer

All Implemented Interfaces:

Normalizer

public class DecimalScaleNormalizer
extends Object
implements Normalizer

Decimal scaling normalization method, which normalize data by moving decimal point in regard to max element in training set (by columns) Normalization is done according to formula: normalizedVector[i] = vector[i] / scaleFactor[i]

Author:

Zoran Sevarac

Constructor Summary

Constructors

Constructor and Description
DecimalScaleNormalizer()

Method Summary

Modifier and Type	Method and Description
void	findScaleVectors()
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

DecimalScaleNormalizer

public DecimalScaleNormalizer()

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

findScaleVectors

public void findScaleVectors()