Maxima Units Search (MUS) algorithm: methodology and applications
Computation
2016-11-04 v1
Abstract
An algorithm for extracting identity submatrices of small rank and pivotal units from large and sparse matrices is proposed. The procedure has already been satisfactorily applied for solving the label switching problem in Bayesian mixture models. Here we introduce it on its own and explore possible applications in different contexts.
Cite
@article{arxiv.1611.01069,
title = {Maxima Units Search (MUS) algorithm: methodology and applications},
author = {Leonardo Egidi and Roberta Pappadà and Francesco Pauli and Nicola Torelli},
journal= {arXiv preprint arXiv:1611.01069},
year = {2016}
}