An experimental study on classifying spatial trajectories-Reference-Cited by-同舟云学术

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An experimental study on classifying spatial trajectories

Published:2022-12-20 Issue:4 Volume:65 Page:1587-1609
ISSN:0219-1377
Container-title:Knowledge and Information Systems
language:en
Short-container-title:Knowl Inf Syst

Author:

Pourmahmood-Aghababa Hasan,Phillips Jeff M.

Funder

National Science Foundation

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Hardware and Architecture,Human-Computer Interaction,Information Systems,Software

Link

https://link.springer.com/content/pdf/10.1007/s10115-022-01802-5.pdf

Reference63 articles.

1. Besse PC, Guillouet B, Loubes J-M, Royer F (2016) Review and perspective for distance-based clustering of vehicle trajectories. IEEE Trans Intell Transp Syst 17:3306–3317

2. Buchin K, Driemel A, Gudmundsson J, Horton M, Kostitsyna I, Loffler M ( 2019) Approximating $$(k,l)$$-center clustering for curves. In: SODA

3. Driemel A, Krivosija A, Sohler C ( 2016) Clustering time series under the Frechet distance. In: ACM-SIAM Symposium on Discrete Algorithms

4. Buchin K, Driemel A, van de L’Isle N, Nusser A ( 2019) klcluster: Center-based clustering of trajectories. In: Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, pp. 496– 499

5. Zhang Z, Huang K, Tan T ( 2006) Comparison of similarity measures for trajectory clustering in outdoor surveillance scenes. In: 18th International Conference on Pattern Recognition. ICPR’06

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