denoiseR-package: Regularized low-rank matrix estimation
In julierennes/denoiseR: Regularized low-rank matrix estimation
Description
Details
Author(s)
See Also
Description
The methods implemented allow to recover a low-rank structure from noisy data. In addition, they may be used to estimate the underlying rank.
Details
Package: denoiseR
Type: Package
Version: 1.0
Date: 2015-02-09
License: GPL (>=2)
Author(s)
Matan Gavish, Julie Josse, Sylvain Sardy, Stefan Wager
Maintainer: Julie Josse <josse@agrocampus-ouest.fr>
See Also
URL: http://www.agrocampus-ouest.fr/math/josse
http://web.stanford.edu/~gavish/index.html
http://web.stanford.edu/~swager/research.html
http://www.unige.ch/math/folks/sardy
julierennes/denoiseR documentation built on July 29, 2019, 3:38 a.m.
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Description Details Author(s) See Also
Description
The methods implemented allow to recover a low-rank structure from noisy data. In addition, they may be used to estimate the underlying rank.
Details
| Package: | denoiseR |
| Type: | Package |
| Version: | 1.0 |
| Date: | 2015-02-09 |
| License: | GPL (>=2) |
Author(s)
Matan Gavish, Julie Josse, Sylvain Sardy, Stefan Wager
Maintainer: Julie Josse <josse@agrocampus-ouest.fr>
See Also
URL: http://www.agrocampus-ouest.fr/math/josse
http://web.stanford.edu/~gavish/index.html
http://web.stanford.edu/~swager/research.html
http://www.unige.ch/math/folks/sardy
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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