Maritime Trajectory Clustering Method Based on Hausdorff Distance
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-3682-9_54
Reference21 articles.
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3. Zhao, L., Shi, G.: A novel similarity measure for clustering vessel trajectories based on dynamic time warping. J. Navig. 1–17 (2018)
4. de Vries, G., van Someren, M.: Clustering vessel trajectories with alignment kernels under trajectory compression. In: Balcázar, J.L., Bonchi, F., Gionis, A., Sebag, M. (eds.) Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2010, LNCS, vol. 6321, pp. 296–311. Springer, Berlin (2010). https://doi.org/10.1007/978-3-642-15880-3_25
5. Lee, J.G., Han, J., Whang, K.Y.: Trajectory clustering: a partition-and-group framework. In: ACM SIGMOD International Conference on Management of Data, pp. 593–604, ACM (2007)
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