Hypergraph regularization-based anchor learning for multi-view clustering

Yunpeng Zeng

doi:10.1016/j.patcog.2025.112465

Hypergraph regularization-based anchor learning for multi-view clustering

2025-09-24

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DOI：10.1016/j.patcog.2025.112465

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highlights • A novel fast MVSC method is developed. • The higher-order correlations between anchor points is explored by hypergraph. • An orthogonal diversity constraint is utilized. • Experiments show that HRFAL has low time cost and good clustering performance.

Hypergraph regularization-based anchor learning for multi-view clustering

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