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Orthogonal Nonnegative Matrix Factorization by Sparsity and Nuclear Norm Optimization
SIAM Journal on Matrix Analysis and Applications, 2018 © 2018 Society for Industrial and Applied Mathematics. In this paper, we study orthogonal nonnegative matrix factorization. We demonstrate the coefficient matrix can be sparse and low-rank in the orthogonal nonnegative matrix factorization.
Michael Ng
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Generalized Separable Nonnegative Matrix Factorization
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021Nicolas Gillis, Junjun Pan
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Convex and Semi-Nonnegative Matrix Factorizations
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2010Michael I. Jordan +2 more
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Graph Regularized Nonnegative Matrix Factorization for Data Representation
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2011Thomas Huang, Deng Cai, Xiaofei He
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Nonsmooth Nonnegative Matrix Factorization (nsNMF)
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2006Roberto D Pascual-Marqui +2 more
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Document Clustering Using Nonnegative Matrix Factorization
Information Processing and Management, 2006Michael W. Berry
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Robust Manifold Nonnegative Matrix Factorization
ACM Transactions on Knowledge Discovery From Data, 2014Feiping Nie, Heng Huang, Chris H Q Ding
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Algorithms and Applications for Approximate Nonnegative Matrix Factorization
Computational Statistics and Data Analysis, 2007Michael W. Berry, Murray Browne
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SVD Based Initialization: A Head Start for Nonnegative Matrix Factorization
Pattern Recognition, 2008Efstratios Gallopoulos
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