Auto-weighted Multi-view Clustering via Spectral Embedding

•Integrating the spectral embedding and Spectral Rotation(SR) into a single optimization procedure.•The proposed approach takes the clustering capacity heterogeneity of different views into consideration.•The unified framework can make the latter be in turn used to conduct to learn better spectral embedding.