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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 |
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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.
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