FreeCSL performs incomplete multi-view clustering by learning shared semantic prototypes across views and enhancing them with within-view graph structure, avoiding explicit imputation and alignment.
A novel ap- proach for effective multi-view clustering with information- theoretic perspective.Advances in Neural Information Pro- cessing Systems, 36, 2024
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Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning
FreeCSL performs incomplete multi-view clustering by learning shared semantic prototypes across views and enhancing them with within-view graph structure, avoiding explicit imputation and alignment.