39 citations · 126 across the 12 of their papers we have counts for
4 papers · 1 filter
Hierarchical clustering for graph visualization
Stéphan Clémençon, Hector De Arazoza, Fabrice Rossi +1
This paper describes a graph visualization methodology based on hierarchical maximal modularity clustering, with interactive and significant coarsening and refining possibilities.…
A Discussion on Parallelization Schemes for Stochastic Vector Quantization Algorithms
Matthieu Durut, Benoît Patra, Fabrice Rossi
This paper studies parallelization schemes for stochastic Vector Quantization algorithms in order to obtain time speed-ups using distributed resources. We show that the most intuit…
Modularity-Based Clustering for Network-Constrained Trajectories
Mohamed Khalil El Mahrsi, Fabrice Rossi
We present a novel clustering approach for moving object trajectories that are constrained by an underlying road network. The approach builds a similarity graph based on these traj…
Dissimilarity Clustering by Hierarchical Multi-Level Refinement
Brieuc Conan-Guez, Fabrice Rossi
We introduce in this paper a new way of optimizing the natural extension of the quantization error using in k-means clustering to dissimilarity data. The proposed method is based o…