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Feature selection is an important problem for pattern classification systems. Mutual information is a good indicator of relevance between variables, and has been used as a measure in several feature selection algorithms. Because the mutual information could not be calculated directly for continuous data sets in max-relevance and min-redundancy (mRMR) algorithm, here we combine the mRMR algorithm with...
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