Co-regularized optimal high-order graph embedding for multi-view clustering

Senwen Zhan, Hao Jiang, Dong Shen

Abstract: Highlights•We proposed a co-regularized Optimal High-Order Graph Embedding Method Co-MSE.•Optimal embedding representation for multi-view data can be obtained in Co-MSE.•Co-MSE is very efficient and can converge in a few iterations.•Theoretical convergence for Co-MSE is guaranteed.•Co-MSE demonstrates outstanding performance for multi-view clustering problems.