Accurate multi-view clustering to seek the cross-viewed yet uniform sample assignment via tensor feature matching

Yue Zhang, Wuxiu Quan, Tatsuya Akutsu, Li Liu, Hongmin Cai, Bin Zhang

Abstract: Highlights•MC-TFM leverages inter-view feature-wise matching to bypass the inaccurate sample-wise similarity estimation.•MC-TFM utilizes the feature matching tensor for sample assignment to exploit both intra-view and inter-view correlations.•Demonstration of the substantial potential of MC-TFM through extensive experiment.