Online unit clustering: Variations on a theme

  • Authors:
  • Leah Epstein;Asaf Levin;Rob van Stee

  • Affiliations:
  • Department of Mathematics, University of Haifa, 31905 Haifa, Israel;Department of Statistics, The Hebrew University, Jerusalem, Israel;Max-Planck-Institut für Informatik, Saarbrücken, Germany

  • Venue:
  • Theoretical Computer Science
  • Year:
  • 2008

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Abstract

Online unit clustering is a clustering problem where classification of points is done in an online fashion, but the exact location of clusters can be modified dynamically. We study several variants and generalizations of the online unit clustering problem, which are inspired by variants of packing and scheduling problems in the literature.