On Weighted Low-Rank Approximation
Applications
2013-02-05 v1
Abstract
Our main interest is the low-rank approximation of a matrix in R^m.n under a weighted Frobenius norm. This norm associates a weight to each of the (m x n) matrix entries. We conjecture that the number of approximations is at most min(m, n). We also investigate how the approximations depend on the weight-values.
Keywords
Cite
@article{arxiv.1302.0360,
title = {On Weighted Low-Rank Approximation},
author = {William Rey},
journal= {arXiv preprint arXiv:1302.0360},
year = {2013}
}
Comments
13 pages