Multi-label feature selection with missing features by tolerance implication granularity information and symmetric coupled discriminant weight

Jianhua Dai, Jie Wang

Abstract: Highlights•Construct a novel measure (TIGI) to handle missing features in multi-label data.•Define symmetric coupled discriminant weight for features by label pairs.•Propose a feature selection method for incomplete multi-label data.