Smallman, Luke and Artemiou, Andreas ORCID: https://orcid.org/0000-0002-7501-4090 2022. A literature review of (sparse) exponential family PCA. Journal of Statistical Theory and Practice 16 , 14. 10.1007/s42519-021-00238-4 |
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Official URL: https://doi.org/10.1007/s42519-021-00238-4
Abstract
This is a brief overview of the methodology around exponential family PCA. We revisit classic PCA methodology and we focus on exponential family PCA due to it's applicability on a number of distributions and hence a wide variety of problems. We discuss the applicability of these methods to text data analysis due to the high-dimensional and sparse nature of these data.
Item Type: | Article |
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Date Type: | Publication |
Status: | Published |
Schools: | Mathematics |
Subjects: | Q Science > QA Mathematics |
Additional Information: | This article is licensed under a Creative Commons Attribution 4.0 International License |
Publisher: | Taylor and Francis |
ISSN: | 1559-8616 |
Date of First Compliant Deposit: | 4 January 2022 |
Date of Acceptance: | 25 December 2021 |
Last Modified: | 10 May 2023 16:23 |
URI: | https://orca.cardiff.ac.uk/id/eprint/146313 |
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