Limited-Memory Fast Gradient Descent Method for Graph Regularized Nonnegative Matrix Factorization

Publisher:
Public Library Science
Publication Type:
Journal article
Citation:
Guan, Naiyang et al. 2013, 'Limited-Memory Fast Gradient Descent Method for Graph Regularized Nonnegative Matrix Factorization', Plos One, vol. 8, no. 10, pp. e77162-1-e77162-10.
Issue Date:
2013
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Graph regularized nonnegative matrix factorization (GNMF) decomposes a nonnegative data matrix X is an element of R-mxn to the product of two lower-rank nonnegative factor matrices, i.e., W is an element of R-mxr and H is an element of R-rxn (r
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