Unified and efficient multi-view clustering with tensorized bipartite graph

Lei Cao, Zhenzhu Chen, Chuanqing Tang, Junyu Chen, Huaming Du, Yu Zhao, Qing Li, Long Shi

Abstract: Highlights•We present a joint learning formulation of consensus anchors and tensorized bipartite graph.•The joint learning of consensus anchors and tensorized bipartite graph, and a fast spectral embedding are integrated into a unified framework.•Extensive experiments demonstrate that our method outperforms most existing advanced multi-view clustering methods.