Hypergraph based semi-supervised symmetric nonnegative matrix factorization for image clustering

Pattern Recognition(2023)

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摘要
•A novel hypergraph based semi-supervised SNMF method is proposed for image clustering.•A new hypergraph based pairwise constraints propagation algorithm is presented.•The proposed method is analysed in terms of convergence, supervisory information, and computational complexity.•Extensive experiments confirm the effectiveness of the proposed method in clustering applications.
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关键词
Symmetric nonnegative matrix factorization,Hypergraph learning,Semi-supervised learning,Clustering
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