Some functions for performing non-negative matrix factorization, non-negative CANDECOMP/PARAFAC (CP) decomposition, non-negative Tucker decomposition, and generating toy model data. See Andrzej Cichock et al (2009) <doi:10.1002/9780470747278> and the reference section of GitHub README.md <https://github.com/rikenbit/nnTensor>, for details of the methods.
| Version: | 1.0.5 |
| Depends: | R (≥ 3.4.0) |
| Imports: | methods, fields, rTensor, plot3D, tagcloud, ggplot2 |
| Suggests: | testthat |
| Published: | 2020-06-04 |
| Author: | Koki Tsuyuzaki, Manabu Ishii, Itoshi Nikaido |
| Maintainer: | Koki Tsuyuzaki <k.t.the-answer at hotmail.co.jp> |
| License: | Artistic-2.0 |
| URL: | https://github.com/rikenbit/nnTensor |
| NeedsCompilation: | no |
| Materials: | NEWS |
| CRAN checks: | nnTensor results |
| Reference manual: | nnTensor.pdf |
| Package source: | nnTensor_1.0.5.tar.gz |
| Windows binaries: | r-devel: nnTensor_1.0.5.zip, r-release: nnTensor_1.0.5.zip, r-oldrel: nnTensor_1.0.5.zip |
| macOS binaries: | r-release: nnTensor_1.0.5.tgz, r-oldrel: nnTensor_1.0.5.tgz |
| Old sources: | nnTensor archive |
| Reverse imports: | scTensor, scTGIF |
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