rnnmf {rnnmf} | R Documentation |
Regularized Non-negative Matrix Factorization.
rnnmf is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License for more details.
This package provides proof of concept code which is unlikely to be fast or robust, and may not solve the optimization problem at hand. User assumes all risk.
This package is maintained as a hobby.
Steven E. Pav shabbychef@gmail.com
Maintainer: Steven E. Pav shabbychef@gmail.com (ORCID)
Lee, Daniel D. and Seung, H. Sebastian. "Algorithms for Non-negative Matrix Factorization." Advances in Neural Information Processing Systems 13 (2001): 556–562. http://papers.nips.cc/paper/1861-algorithms-for-non-negative-matrix-factorization.pdf
Pav, S. E. "An Iterative Algorithm for Regularized Non-negative Matrix Factorizations." Forthcoming. (2024)
Pav, Steven E. "System and method for unmixing spectroscopic observations with nonnegative matrix factorization." US Patent 8140272, 2012. https://patentscope.wipo.int/search/en/detail.jsf?docId=US42758160
Useful links: