Fast multi-label feature selection based on information-theoretic feature ranking

• Published in: Pattern recognition Vol. 48; no. 9; pp. 2761 - 2771
• Main Authors: Lee, Jaesung, Kim, Dae-Won
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.09.2015
• Subjects: Entropy; Interaction information; Multi-label feature selection; Mutual information; Interaction information; Entropy; Multi-label feature selection; Mutual information

Multi-label feature selection involves selecting important features from multi-label data sets. This can be achieved by ranking features based on their importance and then selecting the top-ranked features. Many multi-label feature selection methods for finding a feature subset that can improve mult...