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## Package org.neuroph.util.norm

Provides data normalization techniques

See:
Description

Interface Summary
Normalizer | Interface for training set normalization methods.

Class Summary
DecimalScaleNormalizer | 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]
MaxMinNormalizer | 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])
MaxNormalizer | 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]

## Package org.neuroph.util.norm Description

Provides data normalization techniques

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