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## org.neuroph.util.norm
Class MaxNormalizer

    java.lang.Object
      org.neuroph.util.norm.MaxNormalizer

All Implemented Interfaces:
  Normalizer

    public class MaxNormalizer

extends Object
implements Normalizer

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] / max[i]

Author:
  Zoran Sevarac

Constructor Summary
`MaxNormalizer()`

Method Summary
`void` | `normalize(DataSet dataSet)` Normalize specified training set
`double[]` | `normalizeMax(double[] vector)`

Methods inherited from class java.lang.Object
`clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait`

Constructor Detail

### MaxNormalizer

    public MaxNormalizer()

Method Detail

### normalize

    public void normalize(DataSet dataSet)

  Description copied from interface: `Normalizer`
  Normalize specified training set

  Specified by:
    `normalize` in interface `Normalizer`

### normalizeMax

    public double[] normalizeMax(double[] vector)

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