rTensor: An R package for multidimensional array (tensor) unfolding, multiplication, and decomposition

1Citations
Citations of this article
18Readers
Mendeley users who have this article in their library.

Abstract

rTensor is an R package designed to provide a common set of operations and decompositions for multidimensional arrays (tensors). We provide an S4 class that wraps around the base ‘array’ class and overloads familiar operations to users of ‘array’, and we provide additional functionality for tensor operations that are becoming more relevant in recent literature. We also provide a general unfolding operation, for which the k-mode unfolding and the matrix vectorization are special cases of. Finally, package rTensor implements common tensor decompositions such as canonical polyadic decomposition, Tucker decomposition, multilinear principal component analysis, t-singular value decomposition, as well as related matrix-based algorithms such as generalized low rank approximation of matrices and popular value decomposition.

Cite

CITATION STYLE

APA

Li, J., Bien, J., & Wells, M. T. (2018). rTensor: An R package for multidimensional array (tensor) unfolding, multiplication, and decomposition. Journal of Statistical Software, 87(10). https://doi.org/10.18637/jss.v087.i10

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free