Title
Approximation algorithms for projective clustering.
Abstract
We consider the following two instances of the projective clustering problem: Given a set S of n points in Rd and an integer k>0, cover S by k slabs (respectively d-cylinders) so that the maximum width of a slab (respectively the maximum diameter of a d-cylinder) is minimized. Let w∗ be the smallest value so that S can be covered by k slabs (respectively d-cylinders), each of width (respectively diameter) at most w∗. This paper contains three main results: (i) For d=2, we present a randomized algorithm that computes O(klogk) strips of width at most w∗ that cover S. Its expected running time is O(nk2log4n) if k2logk⩽n; for larger values of k, the expected running time is O(n2/3k8/3log14/3n). (ii) For d=3, a cover of S by O(klogk) slabs of width at most w∗ can be computed in expected time O(n3/2k9/4polylog(n)). (iii) We compute a cover of S⊂Rd by O(dklogk) d-cylinders of diameter at most 8w∗ in expected time O(dnk3log4n). We also present a few extensions of this result.
Year
DOI
Venue
2003
10.1016/S0196-6774(02)00295-X
Journal of Algorithms
DocType
Volume
Issue
Journal
46
2
ISSN
Citations 
PageRank 
0196-6774
0
0.34
References 
Authors
0
2
Name
Order
Citations
PageRank
Pankaj K. Agarwal15257593.81
Cecilia Magdalena Procopiuc200.34