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Information Processing Letters
Volume 65, Issue 2, 29 January 1998, Pages 95-99
 
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doi:10.1016/S0020-0190(97)00212-3    How to Cite or Link Using DOI (Opens New Window)
Copyright © 1998 Published by Elsevier Science B.V.

Enclosing k points in the smallest axis parallel rectangle

Michael Segal and Klara KedemCorresponding Author Contact Information, 1

Department of Mathematics and Computer Science, Ben-Gurion University of the Negev, Beer-Sheva 84105, Israel

Received 27 August 1996; 
revised 16 June 1997. 
Communicated by F. Dehne 
Available online 20 June 1998.

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Abstract

We consider the following clustering problem. Given a set S of n points in the plane, and given an integer k, n/2 < k less-than-or-equals, slant n we want to find the smallest axis parallel rectangle (smallest perimeter or area) that encloses exactly k points of S. We present an algorithm which runs in time O(n + k(nk)2) improving previous algorithms which run in time O(k2n) and do not perform well for larger k values. We present an algorithm to enclose k of n given points in an axis parallel box in d-dimensional space which runs in time O(dn + dk(nk)2(d − 1) and occupies O(dn) space. We slightly improve algorithms for other problems whose runtimes depend on k.

Author Keywords: Algorithms; Computational geometry; Axis parallel; Optimization

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