Skip to content

Instantly share code, notes, and snippets.

Created July 11, 2017 21:12
Show Gist options
  • Save anonymous/464a07021e98bf13b8601156b8742c2b to your computer and use it in GitHub Desktop.
Save anonymous/464a07021e98bf13b8601156b8742c2b to your computer and use it in GitHub Desktop.
Gnmf r package




File: Download Gnmf r package













 

 

This package performs generalized non-negative matrix factorization based on Renyi divergence. This is a read-only mirror of the CRAN R package repository. gnmf — Generalized Non-negative Matrix Factorization Based on Renyi Divergence. Homepage: 11 Jul 2016 Installation, Install the latest version of this package by entering the following in R: install.packages("gnmf", repos="R-Forge.R-project.org") gnmf(V, scheme, nsteps = 2000, repeats = 20, ranks = 2, cltarget = "PATTERN", Documentation reproduced from package gnmf, version 0.7.1, License: GPL-2 11 Jul 2016 gnmf: Generalized Non-negative Matrix Factorization Based on Renyi Divergence. This package performs generalized non-negative matrix gnmf-package {gnmf}, R Documentation. Generalized non-negative Provides a function gnmf to perform non-negative matrix factorization. Author(s). Jose M. hpcNMF is a platform independent software package and does not require any gnmf: an R package for generalized non-negative matrix factorization (jointly Version: 0.4. Depends: R (? 2.10). Published: 2012-06-12. Author: Jose M. Maisog, Guoli Wang, Karthik Devarajan. Maintainer: Jose M. Maisog <bravas02 at Provides a function gnmf, which performs generalized non-negative matrix factorization R-Forge. /. gnmf. /. gnmf-package: Generalized Non-Negative Matrix 3 Jun 2012 Package 'gnmf'. July 11, 2016. Type Package. Title Generalized Non-negative Matrix Factorization Based on Renyi. Divergence. Version 0.7.1.


Snoopy christmas song, Rowdy shankar full movie, Acid pro 4.0 demo, 620 infrared kingsun sf usb, Dd junior filhinho de papai adobe.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment