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Comparison of algorithms in graph partitioning

Published online by Cambridge University Press:  04 April 2009

Alain Guénoche
Alain Guénoche*
Affiliation:
IML-CNRS, 163 Av. de Luminy, 13288 Marseille Cedex 9, France; guenoche@lim.univ-mrs.fr
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Abstract

We first describe four recent methods to cluster vertices of anundirected non weighted connected graph. They are all based onvery different principles. The fifth is a combination of classicalideas in optimization applied to graph partitioning. We comparethese methods according to their ability to recover classesinitially introduced in random graphs with more edges within theclasses than between them.

Keywords

Graph partitioningpartition comparisonsimulation.
Type
Research Article
Information
RAIRO - Operations Research , Volume 42 , Issue 4: ALIO/EURO V Conference on Combinatorial Optimization , October 2008 , pp. 469 - 484
Copyright
© EDP Sciences, ROADEF, SMAI, 2008

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