Hello,
I have worked a bit on the sparse NMF model proposed by Hoyer [1]. The
paper is mentioned in the Scikits NMF module but AFAIK the model is
currently not implemented. Recently, we proposed an efficient algorithm
based on block coordinate descent [2]. A reference python implementation is
available at:
https://github.com/ismav/sparseNMF
Kindly let me know if this would be of interest to the Scikits-learn
community.
Thanks,
~Vamsi.
[1] Hoyer, P. O. (2004). Non-negative Matrix Factorization with Sparseness
Constraints. Journal of Machine Learning Research, 5, 1457-1469.
[2] Block Coordinate Descent for Sparse NMF
Vamsi K. Potluru, Sergey M. Plis, Jonathan Le Roux, Barak A. Pearlmutter,
Vince D. Calhoun, Thomas P. Hayes. ICLR 2013.
http://arxiv.org/abs/1301.3527
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