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Main Authors: Chambon, Hugo, Fraix-Burnet, Didier
Format: Preprint
Published: 2025
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Online Access:https://arxiv.org/abs/2505.09234
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author Chambon, Hugo
Fraix-Burnet, Didier
author_facet Chambon, Hugo
Fraix-Burnet, Didier
contents An automatic procedure to perform sub-clustering on large samples is presented. At each iteration, the most diverse cluster is sub-clustered, and the global diversity of the new classification is compared to the previous one. The process stops if no improvement is found. The key to our procedure is the use of a quantitative measure of diversity, called the Leinster-Cobbold index, that takes into account the similarity between clusters. While this procedure has been successfully applied on a large sample of spectra of galaxies, we illustrate its efficiency with two examples in this paper.
format Preprint
id arxiv_https___arxiv_org_abs_2505_09234
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle The Leinster-Cobbold diversity index as a criterion for sub-clustering
Chambon, Hugo
Fraix-Burnet, Didier
Instrumentation and Methods for Astrophysics
Cosmology and Nongalactic Astrophysics
An automatic procedure to perform sub-clustering on large samples is presented. At each iteration, the most diverse cluster is sub-clustered, and the global diversity of the new classification is compared to the previous one. The process stops if no improvement is found. The key to our procedure is the use of a quantitative measure of diversity, called the Leinster-Cobbold index, that takes into account the similarity between clusters. While this procedure has been successfully applied on a large sample of spectra of galaxies, we illustrate its efficiency with two examples in this paper.
title The Leinster-Cobbold diversity index as a criterion for sub-clustering
topic Instrumentation and Methods for Astrophysics
Cosmology and Nongalactic Astrophysics
url https://arxiv.org/abs/2505.09234