arXiv (OAI Expanded)
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Optimally Selecting Representative Agents from a Metric Space
This paper studies the problem of proportionally fair clustering, where the goal is to select $k$ ``centers'' from a metric space that fairly represent a set of agents who also lie in the metric space. Specifically, we focus on finding a clustering satisfying a fairness property known as the Droop c
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