STRP-DBSCAN: A Parallel DBSCAN Algorithm Based on Spatial-Temporal Random Partitioning for Clustering Trajectory Data

Trajectory clustering algorithms analyze the movement trajectory of the target objects to mine the potential movement trend, regularity, and behavioral patterns of the object. Therefore, the trajectory clustering algorithm has a wide range of applications in the fields of traffic flow analysis, logi...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Xiaoya An, Ziming Wang, Ding Wang, Song Liu, Cheng Jin, Xinpeng Xu, Jianjun Cao
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	MDPI AG 2023-10-01
Sarja:	Applied Sciences
Aiheet:	parallel DBSCAN algorithm clustering parameters autotuning deep reinforcement learning spatial-temporal random partitioning trajectory data clustering
Linkit:	https://www.mdpi.com/2076-3417/13/20/11122
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