Fusion-enhanced multi-label feature selection with sparse supplementation

Yonghao Li, Xiangkun Wang, Xin Yang, Wanfu Gao, Weiping Ding, Tianrui Li

Abstract: Highlights•The SRFS method extracts discriminative feature subsets using a novel fusion norm.•The SRFS method effectively overcomes the limitations of LASSO-based and l2,1-norm-based methods.•SRFS explores different multi-label data sets with a flexible and efficient optimization scheme.