Trajectory Clustering by Sampling and Density

AbstractThe trajectory data of moving objects contain huge amounts of information pertaining to traffic flow. It is incredibly important to extract valuable knowledge from this particular kind of data. Trajectory clustering is one of the most widely used approaches to complete this extraction. Howev...

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Veröffentlicht in:	Marine Technology Society journal 2014-11, Vol.48 (6), p.74-85
Hauptverfasser:	Pan, Jiacai, Jiang, Qingshan, Shao, Zheping
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Clustering Density Density-Based Clustering Intelligent Transportation Marine Run time (computers) Sampling Sampling And Density Ships Similarity Of Trajectory Traffic flow Trajectories Trajectory Clustering
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