Embedded feature fusion for multi-view multi-label feature selection

Pingting Hao, Wanfu Gao, Liang Hu

Abstract: Highlights•A learning process for emphasizing fusion process and distinctive matrix solving.•The global and local feature weights are combined to improve the performance.•The rationality of objective function is discussed and proved by experiments.•The optimization process is efficient with provable convergence.