文章基本信息

标题：Performance evaluation of clustering algorithms on trajectories data
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作者：Sweta Kumari ; Varsha Singh
期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2012
卷号：3
期号：2
页码：3334-3336
出版社：TechScience Publications
摘要：Clustering is a data mining technique used to place data elements into related groups without advance knowledge of the group definitions. In this paper, trajectories data are use to evaluate the performance of clustering algorithms on the factor of time parameter. We propose the time- based clustering algorithm that adapts the agglomerative and DBSCAN clustering algorithms for trajectory data. We present experimental results that show the performance and accuracy of clustering algorithms.
关键词：clustering; DBSCAN; agglomerative hierchical;trajectories database