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Clustering with Few Disks to Minimize the Sum of Radii

Title: Clustering with Few Disks to Minimize the Sum of Radii
Authors: Abrahamsen, Mikkel; de Berg, Sarita; Meijer, Lucas; Nusser, André; Theocharous, Leonidas; Sub Geometric Computing; Sub Algorithms and Complexity; Geometric Computing; Mulzer, Wolfgang; Phillips, Jeff M.
Publication Year: 2024
Subject Terms: covering points with disks; geometric clustering; minimize sum of radii; Software
Description: Given a set of n points in the Euclidean plane, the k-MinSumRadius problem asks to cover this point set using k disks with the objective of minimizing the sum of the radii of the disks. After a long line of research on related problems, it was finally discovered that this problem admits a polynomial time algorithm [GKKPV’12]; however, the running time of this algorithm is O(n881), and its relevance is thereby mostly of theoretical nature. A practically and structurally interesting special case of the k-MinSumRadius problem is that of small k. For the 2-MinSumRadius problem, a near-quadratic time algorithm with expected running time O(n2 log2 n log2 log n) was given over 30 years ago [Eppstein’92]. We present the first improvement of this result, namely, a near-linear time algorithm to compute the 2-MinSumRadius that runs in expected O(n log2 n log2 log n) time. We generalize this result to any constant dimension d, for which we give an O(n2−1/(⌈d/2⌉+1)+ε) time algorithm. Additionally, we give a near-quadratic time algorithm for 3-MinSumRadius in the plane that runs in expected O(n2 log2 n log2 log n) time. All of these algorithms rely on insights that uncover a surprisingly simple structure of optimal solutions: we can specify a linear number of lines out of which one separates one of the clusters from the remaining clusters in an optimal solution.
Document Type: book part
File Description: application/pdf
Language: English
ISSN: 1868-8969
Relation: https://dspace.library.uu.nl/handle/1874/482307
Availability: https://dspace.library.uu.nl/handle/1874/482307
Rights: info:eu-repo/semantics/OpenAccess
Accession Number: edsbas.3F12C4D2
Database: BASE