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Hierarchical clustering for graph visualization

Abstract : This paper describes a graph visualization methodology based on hierarchical maximal modularity clustering, with interactive and significant coarsening and refining possibilities. An application of this method to HIV epidemic analysis in Cuba is outlined.
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https://hal.archives-ouvertes.fr/hal-00603639
Contributor : Fabrice Rossi <>
Submitted on : Saturday, October 20, 2012 - 4:25:04 PM
Last modification on : Friday, July 31, 2020 - 10:44:06 AM
Long-term archiving on: : Saturday, December 17, 2016 - 2:47:49 AM

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  • HAL Id : hal-00603639, version 2
  • ARXIV : 1210.5693

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Stéphan Clémençon, Hector de Arazoza, Fabrice Rossi, Viet Chi Tran. Hierarchical clustering for graph visualization. European Symposium on Artificial Neural Networks (ESANN 2011), Apr 2011, Bruges, Belgium. pp.227-232. ⟨hal-00603639v2⟩

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