Results 121 to 130 of about 4,116 (162)
Hierarchical community detection via rank-2 symmetric nonnegative matrix factorization. [PDF]
Comput Soc Netw, 2017 Du R, Kuang D, Drake B, Park H.
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Adaptive Multiview Nonnegative Matrix Factorization Algorithm for Integration of Multimodal Biomedical Data. [PDF]
Cancer Inform, 2017 Ray B, Liu W, Fenyö D.
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A Robust Manifold Graph Regularized Nonnegative Matrix Factorization Algorithm for Cancer Gene Clustering. [PDF]
Molecules, 2017 Zhu R, Liu JX, Zhang YK, Guo Y.
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Cancer classification and pathway discovery using non-negative matrix factorization. [PDF]
J Biomed Inform, 2019 Zeng Z +5 more
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Coseparable Nonnegative Matrix Factorization
SIAM Journal on Matrix Analysis and Applications, 2023 Nonnegative matrix factorization (NMF) is a popular model in the field of pattern recognition. It aims to find a low rank approximation for nonnegative data M by a product of two nonnegative matrices W and H. In general, NMF is NP-hard to solve while it can be solved efficiently under separability assumption, which requires the columns of factor matrix
Michael Ng, Junjun Pan
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On the Complexity of Nonnegative Matrix Factorization [PDF]
SIAM Journal on Optimization, 2010 Version 2 corrects small typos; adds ref to Cohen & Rothblum; adds ref to Gillis; clarifies reduction of NMF to int ...
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On Identifiability of Nonnegative Matrix Factorization [PDF]
IEEE Signal Processing Letters, 2018 In this letter, we propose a new identification criterion that guarantees the recovery of the low-rank latent factors in the nonnegative matrix factorization (NMF) model, under mild conditions. Specifically, using the proposed criterion, it suffices to identify the latent factors if the rows of one factor are \emph{sufficiently scattered} over the ...
Nicholas Sidiropoulos +2 more
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Factor-Bounded Nonnegative Matrix Factorization
ACM Transactions on Knowledge Discovery from Data, 2021Nonnegative Matrix Factorization (NMF) is broadly used to determine class membership in a variety of clustering applications. From movie recommendations and image clustering to visual feature extractions, NMF has applications to solve a large number of knowledge discovery and data mining problems.
Kai Liu 0018 +4 more
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Quadratic nonnegative matrix factorization
Pattern Recognition, 2012zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yang, Zhirong, Oja, Erkki
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