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Conference Papers Year : 2011

Hierarchical clustering for graph visualization

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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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Dates and versions

hal-00603639 , version 1 (27-06-2011)
hal-00603639 , version 2 (20-10-2012)

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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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