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Link prediction by adversarial Nonnegative Matrix Factorization
Knowledge-Based Systems, 2023Reza Mahmoodi +3 more
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Graph-Based Multicentroid Nonnegative Matrix Factorization
IEEE Transactions on Neural Networks and Learning SystemsNonnegative matrix factorization (NMF) is a widely recognized approach for data representation. When it comes to clustering, NMF fails to handle data points located in complex geometries, as each sample cluster is represented by a centroid. In this article, a novel multicentroid-based clustering method called graph-based multicentroid NMF (MCNMF) is ...
Chuan Ma, Yingwei Zhang, Chun-Yi Su
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Symmetric nonnegative matrix factorization: A systematic review
Neurocomputing, 2023Wensheng Chen +3 more
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Elastic adversarial deep nonnegative matrix factorization for matrix completion
Information Sciences, 2023Seyed Amjad Seyedi +4 more
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Adaptive graph nonnegative matrix factorization with the self-paced regularization
Applied intelligence (Boston), 2022Xuanhao Yang +3 more
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Graph regularized discriminative nonnegative matrix factorization
Engineering applications of artificial intelligenceZhonghua Liu +5 more
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A survey of deep nonnegative matrix factorization
Neurocomputing, 2022Wensheng Chen, Qianwen Zeng, Binbin Pan
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