Robust multi-view clustering with hyper-Laplacian regularization

DOI10.1016/j.ins.2024.121718MaRDI QIDQ6669281

Caiming Zhang, Yan Zhang, Yuan Gao, Hui Liu, Xiao Yu

Publication date: 22 January 2025

Published in: Information Sciences (Search for Journal in Brave)

zbMATH Keywords

hypergraphrobustnessLaplacian matrixmulti-view clusteringauto-weighted scheme

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05)

Cites Work

• Semi-supervised multi-view clustering based on orthonormality-constrained nonnegative matrix factorization
• Robust Subspace Clustering for Multi-View Data by Exploiting Correlation Consensus
• Fine-grained similarity fusion for multi-view spectral clustering
• Robust multi-view non-negative matrix factorization with adaptive graph and diversity constraints
• Sample-level weights learning for multi-view clustering on spectral rotation

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