 |
|
|
|
| HAL : hal-00695753, version 2 |
| arXiv : 1205.2172 |
| Fiche détaillée |  Récupérer au format |
|
|
| 20-th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2012), Bruges : Belgium (2012) |
|
|
| Versions disponibles : | v1 (10-05-2012) | v2 (05-10-2012) |
|
|
|
|
| Modularity-Based Clustering for Network-Constrained Trajectories |
|
|
Mohamed Khalil El Mahrsi 1Fabrice Rossi 2 |
|
|
| (04/2012) |
|
|
|
| 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 trajectories then uses modularity-optimization hiearchical graph clustering to regroup trajectories with similar profiles. Our experimental study shows the superiority of the proposed approach over classic hierarchical clustering and gives a brief insight to visualization of the clustering results. |
|
|
|
|
|
|
|
|
|
|
|
| 1 : | Laboratoire Traitement et Communication de l'Information [Paris] (LTCI) |
|
|
|
Télécom ParisTech – CNRS : UMR5141 |
|
|
| 2 : | Statistique, Analyse et Modélisation Multidisciplinaire (SAmos-Marin Mersenne) (SAMM) |
|
|
|
Université Paris I - Panthéon-Sorbonne |
|
|
|
|
|
|
|
|
|
| Domaine | : | Statistiques/Machine Learning Informatique/Apprentissage |
|
|
| Liste des fichiers attachés à ce document : | ||||||||||||||||||
|
||||||||||||||||||
|
|
|
| hal-00695753, version 2 | |
| http://hal.archives-ouvertes.fr/hal-00695753 | |
| oai:hal.archives-ouvertes.fr:hal-00695753 | |
| Contributeur : Mohamed Khalil El Mahrsi | |
| Soumis le : Jeudi 4 Octobre 2012, 22:30:12 | |
| Dernière modification le : Vendredi 5 Octobre 2012, 08:22:17 | |
