Skip to main content

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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for Orange-NMF, version 0.1.2
Filename, size File type Python version Upload date Hashes
Filename, size Orange_NMF-0.1.2-py2.6.egg (129.2 kB) File type Egg Python version 2.6 Upload date Hashes View
Filename, size Orange_NMF-0.1.2-py2.7.egg (129.0 kB) File type Egg Python version 2.7 Upload date Hashes View
Filename, size Orange-NMF-0.1.2.tar.gz (3.2 MB) File type Source Python version None Upload date Hashes View

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring DigiCert DigiCert EV certificate Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page