Nothing
CMTFtoolbox: Create (Advanced) Coupled Matrix and Tensor Factorization Models
Creation and selection of (Advanced) Coupled Matrix and Tensor Factorization (ACMTF) and ACMTF-Regression (ACMTF-R) models. Selection of the optimal number of components can be done using 'ACMTF_modelSelection()' and 'ACMTFR_modelSelection()'. The CMTF and ACMTF methods were originally described by Acar et al., 2011 <doi:10.48550/arXiv.1105.3422> and Acar et al., 2014 <doi:10.1186/1471-2105-15-239>, respectively.
Getting started
Browse package contents
Package details |
|
|---|---|
| Author | Geert Roelof van der Ploeg [aut, cre] (ORCID: <https://orcid.org/0009-0007-5204-3386>), Johan Westerhuis [ctb] (ORCID: <https://orcid.org/0000-0002-6747-9779>), Anna Heintz-Buschart [ctb] (ORCID: <https://orcid.org/0000-0002-9780-1933>), Age Smilde [ctb] (ORCID: <https://orcid.org/0000-0002-3052-4644>), University of Amsterdam [cph, fnd] |
| Maintainer | Geert Roelof van der Ploeg <roel@simula.no> |
| License | MIT + file LICENSE |
| Version | 1.1.1 |
| URL | https://grvanderploeg.com/CMTFtoolbox/ https://github.com/GRvanderPloeg/CMTFtoolbox |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the CMTFtoolbox package in your browser
Any scripts or data that you put into this service are public.
