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Multi-view clustering (MVC), which effectively fuses information from multiple views for better performance, has received increasing attention.
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X. Wan, X. Liu, J. Liu, S. Wang, Y. Wen, W. Liang, E. Zhu, Z. Liu, and L. Zhou, “Auto-weighted multi-view clustering for large-scale data,” 2023
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H. Yu, J. Tang, G. Wang, and X. Gao, “A novel multi-view clustering method for unknown mapping relationships between cross-view samples,” in Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining , 2021, pp. 2075–2083
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