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mutual information is a concept from information theory. It is a measure of joint dependence between two random variables, which is not, like the usual correlation coefficient, limited to scalar variables.

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mutual information vs normalized mutual information

I would like to know why some paper uses Normalized Mutual Information and not standard Mutual Information to measure correlation between features? what is the difference between these two measures?
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