Orange NMF add-on for Orange data mining software package.
Orange NMF is an add-on for Orange data mining software package. It provides non-negative matrix factorization algorithms (NMF) through NIMFA and robust singular value decomposition (rSVD). It includes widgets that deal with missing data in input matrices, their normalizations, viewing and assessing the quality of matrix factors returned by different matrix factorization algorithms.
Documentation is found at:
Widgets were designed and implemented by Fajwel Fogel (Ecole Polytechnique ParisTech). All NMF methods call NIMFA library, implemented by Marinka Zitnik (Bioinformatics Laboratory, FRI UL). Thanks also to Doug Marsteller, Stan Young (NISS), Chris Beecher, Paul Fogel.
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|Filename, size & hash SHA256 hash help||File type||Python version||Upload date|
|Orange_NMF-0.1.2-py2.6.egg (129.2 kB) Copy SHA256 hash SHA256||Egg||2.6||Feb 14, 2013|
|Orange_NMF-0.1.2-py2.7.egg (129.0 kB) Copy SHA256 hash SHA256||Egg||2.7||Feb 14, 2013|
|Orange-NMF-0.1.2.tar.gz (3.2 MB) Copy SHA256 hash SHA256||Source||None||Feb 14, 2013|