• DocumentCode
    1843923
  • Title

    A New Trajectory Clustering Based on Partition-Cluster-Extraction

  • Author

    Jiashun Chen ; Dechang Pi

  • Author_Institution
    Coll. of Comput. Sci. & Technol., HHIT, Lianyungang, China
  • fYear
    2013
  • fDate
    21-23 June 2013
  • Firstpage
    690
  • Lastpage
    693
  • Abstract
    In this paper, we proposed a new trajectory clustering based on partition-cluster-extract (PCE). Firstly, some relative definitions are defined, and then we proposed a new partition method named PCE, which is based on method of partition-group framework. Finally, on the basis of PCE and relative definitions, we proposed a new algorithm named partition-cluster-extract trajectory clustering (PCETC). Some experiments on different datsets show that the new algorithm in this paper is more efficient than TRACLUS, at the same time, the algorithm has nearly the same cluster quality as TRACLUS.
  • Keywords
    data analysis; pattern clustering; PCE; TRACLUS; cluster quality; partition-cluster-extract trajectory clustering; partition-group framework; Algorithm design and analysis; Classification algorithms; Clustering algorithms; Joints; Partitioning algorithms; Spatiotemporal phenomena; Trajectory; cluster; partition-cluster-extract; trajectory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational and Information Sciences (ICCIS), 2013 Fifth International Conference on
  • Conference_Location
    Shiyang
  • Type

    conf

  • DOI
    10.1109/ICCIS.2013.187
  • Filename
    6643103