Nonnegative Matrix Factorization Requires Irrationality
Computational Complexity
2017-03-24 v2 Machine Learning
Numerical Analysis
Abstract
Nonnegative matrix factorization (NMF) is the problem of decomposing a given nonnegative matrix into a product of a nonnegative matrix and a nonnegative matrix . A longstanding open question, posed by Cohen and Rothblum in 1993, is whether a rational matrix always has an NMF of minimal inner dimension whose factors and are also rational. We answer this question negatively, by exhibiting a matrix for which and require irrational entries.
Keywords
Cite
@article{arxiv.1605.06848,
title = {Nonnegative Matrix Factorization Requires Irrationality},
author = {Dmitry Chistikov and Stefan Kiefer and Ines Marušić and Mahsa Shirmohammadi and James Worrell},
journal= {arXiv preprint arXiv:1605.06848},
year = {2017}
}
Comments
Journal version, to appear in the SIAM Journal on Applied Algebra and Geometry (SIAGA)