org.neuroph.util.data.norm

Class MaxNormalizer

java.lang.Object

org.neuroph.util.data.norm.MaxNormalizer

All Implemented Interfaces:

Serializable, Normalizer

public class MaxNormalizer
extends Object
implements Normalizer, Serializable

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])

Author:

Zoran Sevarac

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
MaxNormalizer(DataSet dataSet) Creates new instance of MaxNormalizer initialized with max values from specified data set.

Method Summary

Modifier and Type	Method and Description
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

MaxNormalizer

public MaxNormalizer(DataSet dataSet)

Creates new instance of MaxNormalizer initialized with max values from specified data set.

Parameters:

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