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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>.
Getting started
Package overview
1. Discretized Non-negative Matrix Factorization (`dNMF`)
2. Discretized Non-negative Tri-Matrix Factorization (`dNMTF`)
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`)
Browse package contents
Package details |
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| Author | Koki Tsuyuzaki [aut, cre] |
| Maintainer | Koki Tsuyuzaki <k.t.the-answer@hotmail.co.jp> |
| License | MIT + file LICENSE |
| Version | 1.3.0 |
| URL | https://github.com/rikenbit/dcTensor |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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Try the dcTensor package in your browser
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