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  • 标题:Performance evaluation of clustering algorithms on trajectories data
  • 本地全文:下载
  • 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
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