Classes in org.neuroph.util.norm that implement Normalizer |
class |
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] |
class |
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]) |
class |
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] |