MATLAB Toolbox: Bayesian Nonnegative Matrix Factorization with Volume Constraints 
Mikkel N. Schmidt, Morten Arngren, Jan Larsen

Abstract  The MATLAB toolbox consists of Bayesian NMF algorithms with a volume and sumtoone constraint. The BayesNMFVol contains simplex volume, parallelepiped volume, and Euclidian distance based volume constraint. 
Keywords  Bayesian, volume constraint, Gibbs sampling, NMF, 
Type  Software 
Year  2010 Month March 
Publisher  Department of Informatics and Mathematical Modelling 
Address  Richard Petersens Plads, Building 321, 2800 Kongens Lyngby, Denmark 
Note  The toolbox is used in the paper "Unmixing of Hyperspectral Images using Bayesian Nonnegative Matrix Factorization with Volume Prior" http://www.imm.dtu.dk/pubdb/p.php?5835 
Electronic version(s)  [zip] 
BibTeX data  [bibtex] 
IMM Group(s)  Intelligent Signal Processing 