#Python NMF/NTF with beta divergence

Antoine Liutkus let me know of the beta_ntf package in Python so that I would include it on the Matrix Factorization Jungle page. From the super beta_ntf 2000 page:

In a nutshell, the beta_ntf module

• supports weighted parafac factorization of nonnegative numpy ndarray of arbitrary shape minimizing any β-divergence
• fits in one small single .py file
• requires numpy v1.6

You can check more details and download it here : http://code.google.com/p/beta-ntf/

The NMF/NTF with beta divergence in Matlab is also available here.

Thanks Antoine !

If you, like Antoine think that a package needs to be added to the Advanced Matrix Factorization Jungle page, please do let me know, I'll be glad to add it. 

Join the CompressiveSensing subreddit or the Google+ Community and post there !

Liked this entry ? subscribe to Nuit Blanche's feed, there's more where that came from. You can also subscribe to Nuit Blanche by Email, explore the Big Picture in Compressive Sensing or the Matrix Factorization Jungle and join the conversations on compressive sensing, advanced matrix factorization and calibration issues on Linkedin.