On clustering to minimize the sum of radii

  • Authors:
  • Matt Gibson;Gaurav Kanade;Erik Krohn;Imran A. Pirwani;Kasturi Varadarajan

  • Affiliations:
  • University of Iowa;University of Iowa;University of Iowa;University of Iowa;University of Iowa

  • Venue:
  • Proceedings of the nineteenth annual ACM-SIAM symposium on Discrete algorithms
  • Year:
  • 2008

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Abstract

Given a metric d defined on a set V of points (a metric space), we define the ball B(v, r) centered at u ∈ V and having radius r ≥ 0 to be the set {q ∈ V/d(v, q) ≤r}. In this work, we consider the problem of computing a minimum cost k-cover for a given set P ⊆ V of n points, where k 0 is some given integer which is also part of the input. For k ≥ 0, a k-cover for subset Q ⊆ P is a set of at most k balls, each centered at a point in P, whose union covers (contains) Q. The cost of a set D of balls, denoted cost(D), is the sum of the radii of those balls.