Abstract:-A good feature selection method should take into account both category information and high-frequency information to select useful features that can effectively display the information of a target. Because basic mutual information (BMI) prefers low-frequency features and ignores high-frequency features, clustering mutual information is proposed, which is based on clustering and makes effective high-frequency features become unique, better integrating category information and useful highfrequency information. … Show more
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