CRAN/E | dcTensor

dcTensor

Discrete Matrix/Tensor Decomposition

Installation

About

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 .

github.com/rikenbit/dcTensor

Key Metrics

Version 1.2.0
R ≥ 3.4.0
Published 2023-07-07 298 days ago
Needs compilation? no
License MIT
License File
CRAN checks dcTensor results

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Maintainer

Maintainer

Koki Tsuyuzaki

k.t.the-answer@hotmail.co.jp

Authors

Koki Tsuyuzaki

aut / cre

Material

NEWS
Reference manual
Package source

Vignettes

1. Discretized Non-negative Matrix Factorization ('dNMF')
2. Discretized Singular Value Decomposition ('dSVD')
3. Discretized Simultaneous Non-negative Matrix Factrozation ('dsiNMF')
4. Discretized Joint Non-negative Matrix Factrozation ('djNMF')
5. Discretized Partial Least Squares ('dPLS')
6. Discretized Non-negative Tensor Factorization ('dNTF')
7. Discretized Non-negative Tucker Decomposition ('dNTD')

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

dcTensor archive

Depends

R ≥ 3.4.0

Imports

methods
MASS
fields
rTensor
nnTensor

Suggests

knitr
rmarkdown
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