Comparison of algorithms in graph partitioning

Comparison of algorithms in graph partitioning

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Article ID: iaor200944744
Country: France
Volume: 42
Issue: 4
Start Page Number: 469
End Page Number: 484
Publication Date: Oct 2008
Journal: RAIRO Operations Research
Authors:
Abstract:

We first describe four recent methods to cluster vertices of an undirected non weighted connected graph. They are all based on very different principles. The fifth is a combination of classical ideas in optimization applied to graph partitioning. We compare these methods according to their ability to recover classes initially introduced in random graphs with more edges within the classes than between them.

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