Copyright © 1998 Published by Elsevier Science B.V.
Enclosing k points in the smallest axis parallel rectangle
Received 27 August 1996;
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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
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(n − k)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(n − k)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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