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Mu-Di Jiang

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#machine learning Preprint Sep 2026

Multi-View Fair Clustering Guided by Cross-View Sensitive Information Discrepancy

Multi-view clustering (MVC) aims to uncover latent cluster structures by exploiting complementary information from multiple views. Despite substantial progress in clustering performance, fairness remains an important concern when MVC is applied to socially sensitive scenarios. Recent fair multi-view clustering methods...

Mu-Di Jiang, Jia-Hui Zhou, Xin-Ying Liu et al. · 0 citations

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