中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Detecting commuting patterns by clustering subtrajectories

文献类型:期刊论文

作者Buchin, Kevin; Buchin, Maike; Gudmundsson, Joachim; Loeffler, Maarten; Luo, Jun
刊名International Journal of Computational Geometry & Applications
出版日期2011
卷号21期号:3页码:253-282
英文摘要In this paper we consider the problem of detecting commuting patterns in a trajectory. For this we search for similar subtrajectories. To measure spatial similarity we choose the Frechet distance and the discrete Frechet distance between subtrajectories, which are invariant under differences in speed. We give several approximation algorithms, and also show that the problem of finding the 'longest' subtrajectory cluster is as hard as MaxClique to compute and approximate.
收录类别SCI
原文出处http://www.worldscientific.com/doi/abs/10.1142/S0218195911003652
语种英语
源URL[http://ir.siat.ac.cn:8080/handle/172644/3565]  
专题深圳先进技术研究院_数字所
作者单位International Journal of Computational Geometry & Applications
推荐引用方式
GB/T 7714
Buchin, Kevin,Buchin, Maike,Gudmundsson, Joachim,et al. Detecting commuting patterns by clustering subtrajectories[J]. International Journal of Computational Geometry & Applications,2011,21(3):253-282.
APA Buchin, Kevin,Buchin, Maike,Gudmundsson, Joachim,Loeffler, Maarten,&Luo, Jun.(2011).Detecting commuting patterns by clustering subtrajectories.International Journal of Computational Geometry & Applications,21(3),253-282.
MLA Buchin, Kevin,et al."Detecting commuting patterns by clustering subtrajectories".International Journal of Computational Geometry & Applications 21.3(2011):253-282.

入库方式: OAI收割

来源:深圳先进技术研究院

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