tensorBF: Bayesian Tensor Factorization
Version 1.0.1

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

Package details

AuthorSuleiman A Khan [aut, cre], Muhammad Ammad-ud-din [aut]
Date of publication2017-01-09 21:46:47
MaintainerSuleiman A Khan <[email protected]>
LicenseMIT + file LICENSE
Package repositoryView on CRAN
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tensorBF documentation built on May 29, 2017, 3:30 p.m.