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.
- Version1.3.1
- R versionR (≥ 3.4.0)
- LicenseMIT
- Needs compilation?No
- Last release08/25/2025
Documentation
- Vignette1. Discretized Non-negative Matrix Factorization ('dNMF')
- Vignette2. Discretized Non-negative Tri-Matrix Factorization ('dNMTF')
- Vignette2. Discretized Singular Value Decomposition ('dSVD')
- Vignette3. Discretized Simultaneous Non-negative Matrix Factrozation ('dsiNMF')
- Vignette4. Discretized Joint Non-negative Matrix Factrozation ('djNMF')
- Vignette5. Discretized Partial Least Squares ('dPLS')
- Vignette6. Discretized Non-negative Tensor Factorization ('dNTF')
- Vignette7. Discretized Non-negative Tucker Decomposition ('dNTD')
- MaterialNEWS
Team
Koki Tsuyuzaki
MaintainerShow author details
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Dependencies
- Imports4 packages
- Suggests3 packages