Proportional Clustering, the β-Plurality Problem, and Metric Distortion
classification
💻 cs.GT
keywords
pluralityproblembetaclusteringinformationmetricordinalproportional
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We show that the proportional clustering problem using the Droop quota for $k = 1$ is equivalent to the $\beta$-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.
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