Semi-supervised pivotal-aware nonnegative matrix factorization with label and pairwise constraint propagation for data clustering

Xiaojun Yang; Tuoji Zhu; Siyuan Peng; Feiping Nie; Zhiping Lin

doi:10.1016/j.patcog.2024.110933

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Semi-supervised pivotal-aware nonnegative matrix factorization with label and pairwise constraint propagation for data clustering

Xiaojun Yang Tuoji Zhu Siyuan Peng Feiping Nie Zhiping Lin

Year: 2024 Journal: Pattern Recognition Vol: 157 Pages: 110933-110933 Publisher: Elsevier BV

DOI: 10.1016/j.patcog.2024.110933

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Keywords:

Non-negative matrix factorization Pairwise comparison Cluster analysis Constraint (computer-aided design) Computer science Affinity propagation Artificial intelligence Pattern recognition (psychology) Matrix (chemical analysis) Matrix decomposition Nonnegative matrix Data mining Mathematics Correlation clustering CURE data clustering algorithm Symmetric matrix Chemistry

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Face and Expression Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Image Retrieval and Classification Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Neural Networks and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Semi-supervised pivotal-aware nonnegative matrix factorization with label and pairwise constraint propagation for data clustering

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