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Orange NMF

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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Release files for Orange-NMF 0.1.2

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Source distribution (sdist)

Source distribution for Orange-NMF 0.1.2
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Orange-NMF-0.1.2.tar.gz 3.2 MB Details

Built distributions (wheels)

Table of built distributions (wheels) for Orange-NMF 0.1.2
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Orange_NMF-0.1.2-py2.7.egg Legacy Egg format - - Details
Orange_NMF-0.1.2-py2.6.egg Legacy Egg format - - Details

Total release size: 3.5 MB

Release files / Orange-NMF-0.1.2.tar.gz

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0.1.2 This release

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0.1.1

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