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Kaniadakis’s Information Geometry of Compositional Data
We propose to use a particular case of Kaniadakis’ logarithm for the exploratory analysis of compositional data following the Aitchison approach. The affine information geometry derived from Kaniadakis’ logarithm provides a consistent setup for the geometric analysis of compositional data. Moreover,...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10378480/ https://www.ncbi.nlm.nih.gov/pubmed/37510054 http://dx.doi.org/10.3390/e25071107 |
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author | Pistone, Giovanni Shoaib, Muhammad |
author_facet | Pistone, Giovanni Shoaib, Muhammad |
author_sort | Pistone, Giovanni |
collection | PubMed |
description | We propose to use a particular case of Kaniadakis’ logarithm for the exploratory analysis of compositional data following the Aitchison approach. The affine information geometry derived from Kaniadakis’ logarithm provides a consistent setup for the geometric analysis of compositional data. Moreover, the affine setup suggests a rationale for choosing a specific divergence, which we name the Kaniadakis divergence. |
format | Online Article Text |
id | pubmed-10378480 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-103784802023-07-29 Kaniadakis’s Information Geometry of Compositional Data Pistone, Giovanni Shoaib, Muhammad Entropy (Basel) Article We propose to use a particular case of Kaniadakis’ logarithm for the exploratory analysis of compositional data following the Aitchison approach. The affine information geometry derived from Kaniadakis’ logarithm provides a consistent setup for the geometric analysis of compositional data. Moreover, the affine setup suggests a rationale for choosing a specific divergence, which we name the Kaniadakis divergence. MDPI 2023-07-24 /pmc/articles/PMC10378480/ /pubmed/37510054 http://dx.doi.org/10.3390/e25071107 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Pistone, Giovanni Shoaib, Muhammad Kaniadakis’s Information Geometry of Compositional Data |
title | Kaniadakis’s Information Geometry of Compositional Data |
title_full | Kaniadakis’s Information Geometry of Compositional Data |
title_fullStr | Kaniadakis’s Information Geometry of Compositional Data |
title_full_unstemmed | Kaniadakis’s Information Geometry of Compositional Data |
title_short | Kaniadakis’s Information Geometry of Compositional Data |
title_sort | kaniadakis’s information geometry of compositional data |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10378480/ https://www.ncbi.nlm.nih.gov/pubmed/37510054 http://dx.doi.org/10.3390/e25071107 |
work_keys_str_mv | AT pistonegiovanni kaniadakissinformationgeometryofcompositionaldata AT shoaibmuhammad kaniadakissinformationgeometryofcompositionaldata |