18 lines
510 B
Mathematica
18 lines
510 B
Mathematica
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function [X_norm, mu, sigma] = featureNormalize(X)
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%FEATURENORMALIZE Normalizes the features in X
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% FEATURENORMALIZE(X) returns a normalized version of X where
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% the mean value of each feature is 0 and the standard deviation
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% is 1. This is often a good preprocessing step to do when
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% working with learning algorithms.
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mu = mean(X);
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X_norm = bsxfun(@minus, X, mu);
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sigma = std(X_norm);
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X_norm = bsxfun(@rdivide, X_norm, sigma);
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% ============================================================
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end
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