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