Development of HTC-DBSCAN: A Hierarchical Trajectory Clustering Algorithm with Automated Parameter Tuning

Existing route-clustering methods often fail to identify abnormal sections or similarities between routes, mainly when working with large or long datasets. While sub-route clustering can detect regional patterns, it struggles to accurately capture the overall route structure. The present study propo...

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Autors principals:	Dae-Han Lee, Joo-Sung Kim
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2024-11-01
Col·lecció:	Applied Sciences
Matèries:	ship route clustering ship trajectory similarity sub-route clustering DBSCAN automated parameter tuning MASS technology
Accés en línia:	https://www.mdpi.com/2076-3417/14/23/10995
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