HIGHLIGHTS
- who: Mehrdad Rostami from the Department of Science University of Technology, Brisbane, Australia have published the paper: A novel method of constrained feature selection by the measurement of pairwise constraints uncertainty, in the Journal: (JOURNAL)
- what: The aim of this method is to reduce the dimension size by considering the pairwise constraint so that the constraint algorithm has the best results, accuracy, and efficiency. In the present paper, a novel pairwise constraints-based method is proposed for feature selection and reduce dimensions. In the present study, a large number of datasets with different properties are . . .
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