Package: dcTensor 1.3.1

Koki Tsuyuzaki

dcTensor: Discrete Matrix/Tensor Decomposition

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 <https://github.com/rikenbit/dcTensor>.

Authors:Koki Tsuyuzaki [aut, cre]

dcTensor_1.3.1.tar.gz
dcTensor_1.3.1.zip(r-4.7)dcTensor_1.3.1.zip(r-4.6)dcTensor_1.3.1.zip(r-4.5)
dcTensor_1.3.1.tgz(r-4.6-any)dcTensor_1.3.1.tgz(r-4.5-any)
dcTensor_1.3.1.tar.gz(r-4.7-any)dcTensor_1.3.1.tar.gz(r-4.6-any)
dcTensor_1.3.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
dcTensor/json (API)

# Install 'dcTensor' in R:
install.packages('dcTensor', repos = c('https://rikenbit.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/rikenbit/dctensor/issues

On CRAN:

Conda:

5.08 score 3 stars 180 downloads 9 exports 34 dependencies

Last updated from:1171b2f330. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK194
source / vignettesOK268
linux-release-x86_64OK186
macos-release-arm64OK118
macos-oldrel-arm64OK120
windows-develOK143
windows-releaseOK121
windows-oldrelOK118
wasm-releaseOK102

Exports:djNMFdNMFdNMTFdNTDdNTFdPLSdsiNMFdSVDtoyModel

Dependencies:clicpp11dotCall64farverfieldsggplot2gluegtableisobandlabelinglatticelifecyclemapsMASSMatrixmisc3dnnTensorplot3DR6RANNRColorBrewerRcppRcppEigenrlangRSpectrarTensorS7scalesspamtagcloudvctrsVicusviridisLitewithr

Discretized Singular Value Decomposition (dSVD)
Introduction | Semi-Ternary Matrix Factorization (STMF) | Basic Usage | Session Information | References
Rendered fromdcTensor-3.Rmdusingknitr::rmarkdown

Last update: 2024-05-12
Started: 2023-03-07

Discretized Simultaneous Non-negative Matrix Factrozation (dsiNMF)
Introduction | Binary Simultaneous Matrix Factorization (BSMF) | Basic Usage | Semi-Binary Simultaneous Matrix Factorization (SBSMF) | Session Information | References
Rendered fromdcTensor-4.Rmdusingknitr::rmarkdown

Last update: 2024-05-12
Started: 2023-03-07

Discretized Joint Non-negative Matrix Factrozation (djNMF)
Introduction | Semi-Binary Simultaneous Matrix Factorization (SBSMF) | Basic Usage | Session Information | References
Rendered fromdcTensor-5.Rmdusingknitr::rmarkdown

Last update: 2024-05-12
Started: 2023-03-07

Discretized Partial Least Squares (dPLS)
Introduction | Semi-Ternary Simultaneous Matrix Factorization (STSMF) | Basic Usage | Session Information | References
Rendered fromdcTensor-6.Rmdusingknitr::rmarkdown

Last update: 2024-05-12
Started: 2023-03-07

Discretized Non-negative Tensor Factorization (dNTF)
Introduction | Binary Tensor Factorization (BTF) | Basic Usage | Semi-Binary Tensor Factorization (SBTF) | Session Information | References
Rendered fromdcTensor-7.Rmdusingknitr::rmarkdown

Last update: 2024-05-12
Started: 2023-03-07

Discretized Non-negative Tucker Decomposition (dNTD)
Introduction | Binary Tensor Factorization (BTF) | Basic Usage | Semi-Binary Tensor Factorization (SBTF) | Session Information | References
Rendered fromdcTensor-8.Rmdusingknitr::rmarkdown

Last update: 2024-05-12
Started: 2024-05-11

Discretized Non-negative Tri-Matrix Factorization (dNMTF)
Introduction | Binary Matrix Tri-Factorization (BMTF) | Basic Usage | Semi-Binary Matrix Tri-Factorization (SBMTF) | Semi-Ternary Matrix Tri-Factorization (STMTF) | Session Information | References
Rendered fromdcTensor-2.Rmdusingknitr::rmarkdown

Last update: 2024-05-11
Started: 2023-03-07

Discretized Non-negative Matrix Factorization (dNMF)
Introduction | Binary Matrix Factorization (BMF) | Basic Usage | Semi-Binary Matrix Factorization (SBMF) | Semi-Ternary Matrix Factorization (STMF) | Session Information | References
Rendered fromdcTensor-1.Rmdusingknitr::rmarkdown

Last update: 2023-06-23
Started: 2023-03-07