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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