Nothing
tensorBF: Bayesian Tensor Factorization
Bayesian Tensor Factorization for decomposition of tensor data sets using the trilinear CANDECOMP/PARAFAC (CP) factorization, with automatic component selection. The complete data analysis pipeline is provided, including functions and recommendations for data normalization and model definition, as well as missing value prediction and model visualization. The method performs factorization for three-way tensor datasets and the inference is implemented with Gibbs sampling.
Getting started
Browse package contents
Package details |
|
|---|---|
| Author | Suleiman A Khan [aut, cre], Muhammad Ammad-ud-din [aut] |
| Maintainer | Suleiman A Khan <khan.suleiman@gmail.com> |
| License | MIT + file LICENSE |
| Version | 1.0.2 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the tensorBF package in your browser
Any scripts or data that you put into this service are public.
