TLViz: Visualising and analysing tensor decomposition models with Python

Python Submitted 26 May 2022Published 25 November 2022
Review

Editor: @faroit (all papers)
Reviewers: @sara-02 (all reviews), @yiitozer (all reviews)

Authors

Marie Roald (0000-0002-9571-8829), Yngve Mardal Moe (0000-0002-5159-9012)

Citation

Roald et al., (2022). TLViz: Visualising and analysing tensor decomposition models with Python. Journal of Open Source Software, 7(79), 4754, https://doi.org/10.21105/joss.04754

@article{Roald2022, doi = {10.21105/joss.04754}, url = {https://doi.org/10.21105/joss.04754}, year = {2022}, publisher = {The Open Journal}, volume = {7}, number = {79}, pages = {4754}, author = {Marie Roald and Yngve Mardal Moe}, title = {TLViz: Visualising and analysing tensor decomposition models with Python}, journal = {Journal of Open Source Software} }
Copy citation string · Copy BibTeX  
Tags

tensor decompositions data mining data visualisation TensorLy

Altmetrics
Markdown badge

 

License

Authors of JOSS papers retain copyright.

This work is licensed under a Creative Commons Attribution 4.0 International License.

Creative Commons License

Table of Contents
Public user content licensed CC BY 4.0 unless otherwise specified.
ISSN 2475-9066