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>.
Version: 1.3.0 Depends: R (≥ 3.4.0) Imports: methods, MASS, fields, rTensor, nnTensor Suggests: knitr, rmarkdown, testthat Published: 2024-05-11 DOI: 10.32614/CRAN.package.dcTensor Author: Koki Tsuyuzaki [aut, cre] Maintainer: Koki Tsuyuzaki <k.t.the-answer at hotmail.co.jp> License: MIT + file LICENSE URL: https://github.com/rikenbit/dcTensor NeedsCompilation: no Materials: NEWS CRAN checks: dcTensor results Documentation: Reference manual: dcTensor.pdf Vignettes: 1. Discretized Non-negative Matrix Factorization ('dNMF')Please use the canonical form https://CRAN.R-project.org/package=dcTensor to link to this page.
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4