Description
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.
README.md
ccTensor
R package for CUR/CX Tensor Decomposition
Installation
git clone https://github.com/rikenbit/ccTensor/
R CMD INSTALL ccTensor
or type the code below in the R console window
install.packages("devtools", repos="http://cran.r-project.org")
library(devtools)
devtools::install_github("rikenbit/ccTensor")
Reference
CUR Matrix Decomposition
- CUR matrix decompositions for improved data analysis, Michael W. Mahoney and Petros Drineas, PNAS, 2009
CX Matrix Decomposition
- Relative-error CUR Matrix Decompositions, Petros Drineas et.al. SIAM J. Matrix Anal. Appl. 2008
CX Tensor Decomposition
- Multidimensional CX Decomposition of Tensors, Maria F. K. B. et. al., WCNPS 2019, 2019
License
Copyright (c) 2021 Koki Tsuyuzaki and Laboratory for Bioinformatics Research, RIKEN Center for Biosystems Dynamics Reseach Released under the Artistic License 2.0.
Authors
- Koki Tsuyuzaki
- Itoshi Nikaido.