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2008

Nonnegative Factorization and The Maximum Edge Biclique Problem

Gillis, Nicolas, Glineur, François

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Nonnegative Matrix Factorization (NMF) is a data analysis technique which allows compression and interpretation of nonnegative data.

NMF became widely studied after the publication of the seminal paper by Lee and Seung (Learning the Parts of Objects by Nonnegative Matrix Factorization, Nature, 1999, vol.
401, pp.
788--791), which introduced an algorithm based on Multiplicative Updates (MU).

Nonnegative Factorization and The Maximum Edge Biclique Problem · Around

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A. Berman and R. Plemmons
1973
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G. Golub and C. Van Loan
1996
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D. P. Bertsekas
1999
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D. Lee and H. Seung
1999
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R. Peeters
2003
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