Automatic Rank Determination in Projective Nonnegative Matrix Factorization (ARDPNMF)

Click here to download the toolbox, which contains the following files:

pnmfeuard.m	PNMF based on Euclidean distance using automatic rank determination
ardpnmf_demo.m	Demonstration script.
FERET.mat	Faces data used in the demo (inner faces extracted from the FERET database).
swimmer2d.mat	The swimmer dataset from Ref[14] in the paper.
ShowNMFBasis.m	Utility function for displaying the columns of resulting matrix as basis images.

Please give reference to our contribution below if you use our ARDPNMF toolbox in your publishable work.

Zhirong Yang, Zhanxing Zhu, Erkki Oja. Automatic Rank Determination in Projective Nonnegative Matrix Factorization. In the 9th International Conference on Latent Variable Analysis and Signal Separation (LVA 2010), pages 514-521, St. Malo, France, 2010. [preprint] [final pdf on publisher pages]