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The flow chart of the proposed MRMR-SSMGG algorithm (It mainly includes two parts: feature selection and semi-supervised classification. Through feature selection, the optimal features are selected to the classifier, and the accuracy of the classifier is used to evaluate the selected features. Finally the best number of features and the maximum classification accuracy are obtained)
