A Clustering Scheme for Trajectories in Road Networks

摘要：

Trajectories of moving objects contain numerous information to analyze and exploit Clustering analysis is an important approach to deal with trajectories in data mining technology. However, existing trajectory clustering algorithm barely considers temporal information during clustering procedure. This paper proposes a clustering scheme for trajectories in road network environment. A trajectory on road network is represented by a sequence of interest points that each point indicates a real location on road segment. We define a distance measure to compute the spatial similarity between trajectories, then we propose a clustering algorithm based on DBSCAN and add temporal factor into it at the same time.

关键词： trajectory clustering distance measure density-based method

作者: Yalin Wang Qilong Han Haiwei Pan

作者单位: College of Computer Science and Technology Harbin Engineering University Harbin, China

会议类型: 国际会议

会议名称: 2010 Third International Symposium on Intelligent Ubiquitous and Education(2010年第三届智能普适计算与教育国际研讨会 IUCE 2010)

会议地点: 北京

会议语种:英文

页码: 373-376

在线出版日期: 2010-09-18（万方平台首次上网日期，不代表论文的发表时间）