Study computes closest-pair distance in metric spaces, indicating efficiency improvements in algorithm design.
Consider a metric space $(P,dist)$ with N points whose doubling dimension is a constant. We present a simple, randomized, and recursive algorithm that computes, in O(N log N) expected time, the closest-pair distance in P. To generate recursive calls, we use previous results of Har-Peled and Mendel, and Abam and Har-Peled for computing a sparse annulus that separates the points in a balanced way.
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Smid et al. (2020) studied this question.
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