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For single tensor data, any matrix factorization method can be specified the matricised tensor in each dimension by Multi-way Component Analysis (MWCA). An originally extended MWCA is also implemented to specify and decompose multiple matrices and tensors simultaneously (CoupledMWCA). See the reference section of GitHub README.md <https://github.com/rikenbit/mwTensor>, for details of the methods.
Version: | 1.1.0 |
Depends: | R (≥ 4.1.0) |
Imports: | methods, MASS, rTensor, nnTensor, ccTensor, iTensor, igraph |
Suggests: | testthat |
Published: | 2023-07-06 |
DOI: | 10.32614/CRAN.package.mwTensor |
Author: | Koki Tsuyuzaki [aut, cre] |
Maintainer: | Koki Tsuyuzaki <k.t.the-answer at hotmail.co.jp> |
License: | MIT + file LICENSE |
URL: | https://github.com/rikenbit/mwTensor |
NeedsCompilation: | no |
Materials: | NEWS |
CRAN checks: | mwTensor results |
Reference manual: | mwTensor.pdf |
Package source: | mwTensor_1.1.0.tar.gz |
Windows binaries: | r-devel: mwTensor_1.1.0.zip, r-release: mwTensor_1.1.0.zip, r-oldrel: mwTensor_1.1.0.zip |
macOS binaries: | r-release (arm64): mwTensor_1.1.0.tgz, r-oldrel (arm64): mwTensor_1.1.0.tgz, r-release (x86_64): mwTensor_1.1.0.tgz, r-oldrel (x86_64): mwTensor_1.1.0.tgz |
Old sources: | mwTensor archive |
Please use the canonical form https://CRAN.R-project.org/package=mwTensor to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.