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» Approximation Algorithms for Clustering Problems
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IPL
2007
105views more  IPL 2007»
15 years 4 months ago
Approximability of identifying codes and locating-dominating codes
We study the approximability and inapproximability of finding identifying codes and locating-dominating codes of the minimum size. In general graphs, we show that it is possible ...
Jukka Suomela
128
Voted
GECCO
2003
Springer
148views Optimization» more  GECCO 2003»
15 years 9 months ago
Ant Colony Programming for Approximation Problems
Abstract. A method of automatic programming, called genetic programming, assumes that the desired program is found by using a genetic algorithm. We propose an idea of ant colony pr...
Mariusz Boryczka, Zbigniew J. Czech, Wojciech Wiec...
137
Voted
ICDM
2007
IEEE
170views Data Mining» more  ICDM 2007»
15 years 11 months ago
Consensus Clusterings
In this paper we address the problem of combining multiple clusterings without access to the underlying features of the data. This process is known in the literature as clustering...
Nam Nguyen, Rich Caruana
133
Voted
COMPGEOM
2006
ACM
15 years 10 months ago
A fast k-means implementation using coresets
In this paper we develop an efficient implementation for a k-means clustering algorithm. The novel feature of our algorithm is that it uses coresets to speed up the algorithm. A ...
Gereon Frahling, Christian Sohler
PODC
2009
ACM
16 years 5 months ago
Distributed and parallel algorithms for weighted vertex cover and other covering problems
The paper presents distributed and parallel -approximation algorithms for covering problems, where is the maximum number of variables on which any constraint depends (for example...
Christos Koufogiannakis, Neal E. Young