mlsanityData to 14 Oct 2026

On Restricted Nonnegative Matrix Factorization

arXiv 1605.07061 ↗First posted 23 May 2016cs.FL cs.CC cs.LGcited by 2

Not on the map. Why?

Abstract (arXiv)

Nonnegative matrix factorization (NMF) is the problem of decomposing a given nonnegative n × m matrix M into a product of a nonnegative n × d matrix W and a nonnegative d × m matrix H. Restricted NMF requires in addition that the column spaces of M and W coincide. Finding the minimal inner dimension d is known to be NP-hard, both for NMF and restricted NMF. We show that restricted NMF is closely related to a question about the nature of minimal probabilistic automata, posed by Paz in his seminal 1971 textbook. We use this connection to answer Paz's question negatively, thus falsifying a positive answer claimed in 1974. Furthermore, we investigate whether a rational matrix M always has a restricted NMF of minimal inner dimension whose factors W and H are also rational. We show that this holds for matrices M of rank at most 3 and we exhibit a rank-4 matrix for which W and H require irrational entries.

Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). First posted on arXiv 23 May 2016.

Builds on

No reference list yet.

Built on by

Cited by year

Citing papers per year: 2021: 1; 2022: 1.

2 papers.