An algorithm of non-negative matrix factorization with the nearest neighbor after per-treatments
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-14571-2.pdf
Reference26 articles.
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3. Cai D, He X, Han J, et al (2010) Graph regularized nonnegative matrix factorization for data representation. IEEE Trans Pattern Anal Mach Intell 33(8):1548–1560
4. Chen WS, Liu J, Pan B, et al (2019) Face recognition using nonnegative matrix factorization with fractional power inner product kernel. Neurocomputing 348:40–53
5. Ding C, Li T, Peng W et al (2006) Orthogonal nonnegative matrix t-factorizations for clustering. In: Proceedings of the 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, New York, NY, USA, KDD ’06. p 126–135, DOI https://doi.org/10.1145/1150402.1150420
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