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

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...

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Bibliographic Details
Main Authors: Xiaoya An, Ziming Wang, Ding Wang, Song Liu, Cheng Jin, Xinpeng Xu, Jianjun Cao
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Applied Sciences
Subjects:
parallel DBSCAN algorithm
clustering parameters autotuning
deep reinforcement learning
spatial-temporal random partitioning
trajectory data clustering
Online Access:https://www.mdpi.com/2076-3417/13/20/11122

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