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Orange NMF add-on for Orange data mining software package.

Project description

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:

https://orange-nmf.readthedocs.org

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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This version
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0.1.2

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0.1.1

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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

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