Non-negative Matrix Factorization
Non-Negative Matrix Factorization is a matrix decomposition method in unsupervised learning that factorizes a non-negative data matrix into the product of two lower-dimensional, non-negative matrices, capturing latent features through additive, parts-based representations.
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2017–2026
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3.2K
Learning the parts of objects by non-negative matrix factorization
Daniel D. Lee, H. Sebastian Seung · Nature · 1999 · 14.1K citations
Algorithms for Non-negative Matrix Factorization
Daniel D. Lee, H. Sebastian Seung · 2000 · 5.5K citations
ALGORITHMS FOR NON-NEGATIVE MATRIX FACTORIZATION
D Seung, Lin-Wen Lee · 2001 · 4.8K citations
Factorization meets the neighborhood
Yehuda Koren · 2008 · 3.9K citations
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Chongqing Institute of Green and Intelligent Technology, China
39 publications · 4.2K citations
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Centre National de la Recherche Scientifique
Paris, France
39 h-index
171 publications
13.4K citations

Chinese Academy of Sciences
Beijing, China
37 h-index
173 publications
10K citations
Guangdong University of Technology
Guangzhou, China
31 h-index
116 publications
6.6K citations
Tsinghua University
Beijing, China
28 h-index
121 publications
6.6K citations

Xi'an Jiaotong University
Xi'an, China
27 h-index
134 publications
6.5K citations
Georgia Institute of Technology
Atlanta, United States
27 h-index
106 publications
9K citations

University of Electronic Science and Technology of China
Chengdu, China
27 h-index
125 publications
6.5K citations
RIKEN Center for Brain Science
Wako, Japan
27 h-index
56 publications
5.2K citations
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77 publications · 3.2K citations
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47 publications · 3.9K citations
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36 publications · 3.7K citations
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Repository · 91 publications · 5.2K citations
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