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dcTensor  

Discrete Matrix/Tensor Decomposition
View on CRAN: Click here


Download and install dcTensor package within the R console
Install from CRAN:
install.packages("dcTensor")

Install from Github:
library("remotes")
install_github("cran/dcTensor")

Install by package version:
library("remotes")
install_version("dcTensor", "1.3.0")



Attach the package and use:
library("dcTensor")
Maintained by
Koki Tsuyuzaki
[Scholar Profile | Author Map]
First Published: 2023-02-21
Latest Update: 2023-07-07
Description:
Semi-Binary and Semi-Ternary Matrix Decomposition are performed based on Non-negative Matrix Factorization (NMF) and Singular Value Decomposition (SVD). For the details of the methods, see the reference section of GitHub README.md .
How to cite:
Koki Tsuyuzaki (2023). dcTensor: Discrete Matrix/Tensor Decomposition. R package version 1.3.0, https://cran.r-project.org/web/packages/dcTensor. Accessed 06 May. 2025.
Previous versions and publish date:
0.99.1 (2023-02-21 12:30), 1.0.0 (2023-03-07 05:10), 1.0.1 (2023-03-17 10:40), 1.1.0 (2023-06-23 17:10), 1.2.0 (2023-07-07 10:00)
Other packages that cited dcTensor R package
View dcTensor citation profile
Other R packages that dcTensor depends, imports, suggests or enhances
Complete documentation for dcTensor
Functions, R codes and Examples using the dcTensor R package
Some associated functions: dNMF . dNTD . dNTF . dPLS . dSVD . dcTensor-package . djNMF . dsiNMF . toyModel . 
Some associated R codes: dNMF.R . dNTD.R . dNTF.R . dPLS.R . dSVD.R . dcTensor-internal.R . djNMF.R . dsiNMF.R . toyModel.R .  Full dcTensor package functions and examples
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