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## org.neuroph.util.norm
Class MaxMinNormalizer

    java.lang.Object
      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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