Scalable Clustering of Segmented Trajectories Within a Continuous Time Framework: Application to Maritime Traffic Data

Gloaguen et al. "Scalable Clustering of Segmented Trajectories Within a Continuous Time Framework: Application to Maritime Traffic Data." Machine Learning, 2023. doi:10.1007/S10994-021-06004-8

[Gloaguen et al. "Scalable Clustering of Segmented Trajectories Within a Continuous Time Framework: Application to Maritime Traffic Data." Machine Learning, 2023.](https://mlanthology.org/mlj/2023/gloaguen2023mlj-scalable/) doi:10.1007/S10994-021-06004-8

@article{gloaguen2023mlj-scalable,
  title     = {{Scalable Clustering of Segmented Trajectories Within a Continuous Time Framework: Application to Maritime Traffic Data}},
  author    = {Gloaguen, Pierre and Chapel, Laetitia and Friguet, Chloé and Tavenard, Romain},
  journal   = {Machine Learning},
  year      = {2023},
  pages     = {1975-2001},
  doi       = {10.1007/S10994-021-06004-8},
  volume    = {112},
  url       = {https://mlanthology.org/mlj/2023/gloaguen2023mlj-scalable/}
}