A linear time deterministic algorithm to find a small subset that approximates the centroid

Given a set of points S in any dimension, we describe a deterministic algorithm for finding a T ⊂ S , | T | = O ( 1 / ε ) such that the centroid of T approximates the centroid of S within a factor 1 + ε for any fixed ε > 0 . We achieve this in linear time by an efficient derandomization of the al...

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Vydáno v:Information processing letters Ročník 105; číslo 1; s. 17 - 19
Hlavní autoři: Worah, Pratik, Sen, Sandeep
Médium: Journal Article
Jazyk:angličtina
Vydáno: Amsterdam Elsevier B.V 31.12.2007
Elsevier Science
Elsevier Sequoia S.A
Témata:
ISSN:0020-0190, 1872-6119
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Shrnutí:Given a set of points S in any dimension, we describe a deterministic algorithm for finding a T ⊂ S , | T | = O ( 1 / ε ) such that the centroid of T approximates the centroid of S within a factor 1 + ε for any fixed ε > 0 . We achieve this in linear time by an efficient derandomization of the algorithm in [M. Inaba, N. Katoh, H. Imai, Applications of weighted Voronoi diagrams and randomization to variance-based k-clustering (extended abstract), in: Proceedings of the Tenth Annual Symposium on Computational Geometry, 1994, pp. 332–339].
Bibliografie:SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 14
ISSN:0020-0190
1872-6119
DOI:10.1016/j.ipl.2007.07.008