Title
A randomized algorithm for online unit clustering
Abstract
In this paper, we consider the online version of the following problem: partition a set of input points into subsets, each enclosable by a unit ball, so as to minimize the number of subsets used. In the one-dimensional case, we show that surprisingly the naïve upper bound of 2 on the competitive ratio can be beaten: we present a new randomized 15/8-competitive online algorithm. We also provide some lower bounds and an extension to higher dimensions.
Year
DOI
Venue
2006
https://doi.org/10.1007/s00224-007-9085-7
Theory of Computing Systems
Keywords
Field
DocType
Online algorithms,Randomized algorithms,Unit clustering
Randomized algorithm,Online algorithm,Discrete mathematics,Combinatorics,Interval graph,Upper and lower bounds,Partition (number theory),Cluster analysis,Mathematics,Unit sphere,Competitive analysis
Conference
Volume
Issue
ISSN
45
3
1432-4350
ISBN
Citations 
PageRank 
3-540-69513-3
9
0.71
References 
Authors
19
2
Name
Order
Citations
PageRank
Timothy M. Chan12033150.55
Hamid Zarrabi-Zadeh211113.63