ccTensor-package {ccTensor}

CUR/CX Tensor Decomposition

Description

CUR/CX decomposition factorizes a matrix into two factor matrices and Multidimensional CX Decomposition factorizes a tensor into a core tensor and some factor matrices. See the reference section of GitHub README.md <https://github.com/rikenbit/ccTensor>, for details of the methods.

Details

The DESCRIPTION file:

Package:	ccTensor
Type:	Package
Title:	CUR/CX Tensor Decomposition
Version:	1.0.2
Date:	2021-08-02
Authors@R:	c(person("Koki", "Tsuyuzaki", role = c("aut", "cre"), email = "[e-mail]"), person("Itoshi", "Nikaido", role = "aut"))
Depends:	R (>= 4.1.0)
Imports:	methods, fields, MASS, igraph, rTensor
Suggests:	testthat, nnTensor
Description:	CUR/CX decomposition factorizes a matrix into two factor matrices and Multidimensional CX Decomposition factorizes a tensor into a core tensor and some factor matrices. See the reference section of GitHub README.md <https://github.com/rikenbit/ccTensor>, for details of the methods.
License:	Artistic-2.0
URL:	https://github.com/rikenbit/ccTensor
Author:	Koki Tsuyuzaki [aut, cre], Itoshi Nikaido [aut]
Maintainer:	Koki Tsuyuzaki <[e-mail]>

Index of help topics:

ccTensor-package        CUR/CX Tensor Decomposition
CUR                     CUR Matrix Decomposition
CX                      CX Matrix Decomposition
MultiCX                 MultiCX Tensor Decomposition

Author(s)

NA

Maintainer: NA

References

Michael W. Mahoney, et. al., (2009). CUR matrix decompositions for improved data analysis. PNAS

Petros Drineas et.al., (2008). Relative-error CUR Matrix Decompositions. SIAM J. Matrix Anal. Appl.

Maria F. K. B. et. al. (2019). Multidimensional CX Decomposition of Tensors. WCNPS

See Also

CX,CUR,MultiCX

Examples

ls("package:ccTensor")