gcTensor-package {gcTensor}

Generalized Coupled Tensor Factorization

Description

Multiple matrices/tensors can be specified and decomposed simultaneously by Probabilistic Latent Tensor Factorisation (PLTF). See the reference section of GitHub README.md <https://github.com/rikenbit/gcTensor>, for details of the method.

Details

The DESCRIPTION file:

Package:	gcTensor
Type:	Package
Title:	Generalized Coupled Tensor Factorization
Version:	1.0.0
Authors@R:	c(person("Koki", "Tsuyuzaki", role = c("aut", "cre"), email = "[e-mail]"))
Suggests:	testthat
Depends:	R (>= 4.1.0)
Imports:	rTensor, einsum
Description:	Multiple matrices/tensors can be specified and decomposed simultaneously by Probabilistic Latent Tensor Factorisation (PLTF). See the reference section of GitHub README.md <https://github.com/rikenbit/gcTensor>, for details of the method.
License:	MIT + file LICENSE
URL:	https://github.com/rikenbit/gcTensor
Author:	Koki Tsuyuzaki [aut, cre]
Maintainer:	Koki Tsuyuzaki <[e-mail]>

Index of help topics:

GCTF                    Generalised Coupled Tensor Factorisation (GCTF)
gcTensor-package        Generalized Coupled Tensor Factorization

Author(s)

NA

Maintainer: NA

References

Y. Kenan Yilmaz, et. al., (2011). Generalised Coupled Tensor Factorisation, NIPS

Beyza Ermis, et. al., (2015). Link prediction in heterogeneous data via generalized coupled tensor factorization, Data Mining and Knowledge Discovery

Examples

ls("package:gcTensor")