Proportional Clustering, the $β$-Plurality Problem, and Metric Distortion

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Autores principales: Kellerhals, Leon, Peters, Jannik
Formato: Preprint
Publicado: 2025
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author Kellerhals, Leon
Peters, Jannik
author_facet Kellerhals, Leon
Peters, Jannik
contents We show that the proportional clustering problem using the Droop quota for $k = 1$ is equivalent to the $β$-plurality problem. We also show that the Plurality Veto rule can be used to select ($\sqrt{5} - 2$)-plurality points using only ordinal information about the metric space and resolve an open question of Kalayci et al. (AAAI 2024) by proving that $(2+\sqrt{5})$-proportionally fair clusterings can be found using purely ordinal information.
format Preprint
id arxiv_https___arxiv_org_abs_2502_10068
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Proportional Clustering, the $β$-Plurality Problem, and Metric Distortion
Kellerhals, Leon
Peters, Jannik
Computer Science and Game Theory
We show that the proportional clustering problem using the Droop quota for $k = 1$ is equivalent to the $β$-plurality problem. We also show that the Plurality Veto rule can be used to select ($\sqrt{5} - 2$)-plurality points using only ordinal information about the metric space and resolve an open question of Kalayci et al. (AAAI 2024) by proving that $(2+\sqrt{5})$-proportionally fair clusterings can be found using purely ordinal information.
title Proportional Clustering, the $β$-Plurality Problem, and Metric Distortion
topic Computer Science and Game Theory
url https://arxiv.org/abs/2502.10068