Joint feature selection and optimal bipartite graph learning for subspace clustering

Shikun Mei, Wenhui Zhao, Quanxue Gao, Ming Yang, Xinbo Gao

Abstract: Highlights•We propose a new method based on dictionary representation for subspace clustering.•We utilize the bipartite graph and feature selection based on the ℓ12-norm.•We propose an efficient optimization method based on ALM method.•We conduct valid experiments to verify the effectiveness of our method.