no code implementations • 8 Apr 2020 • Camille Champion, Blazère Mélanie, Burcelin Rémy, Loubes Jean-Michel, Risser Laurent
Cluster structure detection is a fundamental task for the analysis of graphs, in order to understand and to visualize their functional characteristics.
no code implementations • 25 May 2018 • Camille Champion, Anne-Claire Brunet, Jean-Michel Loubes, Laurent Risser
In this paper, we present a new R package COREclust dedicated to the detection of representative variables in high dimensional spaces with a potentially limited number of observations.