org.neuroph.util.norm
Class MaxMinNormalizer

java.lang.Object
  extended by org.neuroph.util.norm.MaxMinNormalizer
All Implemented Interfaces:
Normalizer

public class MaxMinNormalizer
extends 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])

Author:
Zoran Sevarac

Constructor Summary
MaxMinNormalizer()
           
 
Method Summary
 void normalize(DataSet dataSet)
          Normalize specified training set
 
Methods inherited from class java.lang.Object
clone, equals, finalize, 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 training set

Specified by:
normalize in interface Normalizer


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