MATLAB Toolbox: Bayesian Nonnegative Matrix Factorization with Volume Constraints

Mikkel N. Schmidt, Morten Arngren, Jan Larsen

AbstractThe MATLAB toolbox consists of Bayesian NMF algorithms with a volume and sum-to-one constraint. The BayesNMF-Vol contains simplex volume, parallelepiped volume, and Euclidian distance based volume constraint.
KeywordsBayesian, volume constraint, Gibbs sampling, NMF,
Year2010    Month March
PublisherDepartment of Informatics and Mathematical Modelling
AddressRichard Petersens Plads, Building 321, 2800 Kongens Lyngby, Denmark
NoteThe toolbox is used in the paper "Unmixing of Hyperspectral Images using Bayesian Nonnegative Matrix Factorization with Volume Prior"
Electronic version(s)[zip]
BibTeX data [bibtex]
IMM Group(s)Intelligent Signal Processing