Modularity-Based Clustering for Network-Constrained Trajectories
Résumé
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.
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Poster.pdf (1.27 Mo)
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| Origine | Fichiers produits par l'(les) auteur(s) |
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| Format | Autre |
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| Format | Autre |
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