A trajectory clustering method based on Douglas-Peucker compression and density for marine traffic pattern recognition

Clustering analysis is applied extensively in pattern recognition. In marine traffic applications, the clustering results may exhibit a customary route and traffic volume distribution. In order to improve the clustering performance of ship trajectory data, which is characterized by a large data volu...

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Bibliographic Details

Published in:	Ocean engineering Vol. 172; pp. 456 - 467
Main Authors:	Zhao, Liangbin, Shi, Guoyou
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 15.01.2019
Subjects:	DBSCAN Douglas–peucker algorithm DTW Ship trajectory clustering DBSCAN Douglas–peucker algorithm Ship trajectory clustering DTW
ISSN:	0029-8018, 1873-5258
Online Access:	Get full text
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