• DocumentCode
    2999060
  • Title

    Using the Triangle Inequality to Accelerate TTSAS Cluster Algorithm

  • Author

    He, Chunxia ; Chang, Jinyi ; Chen, Xiaoyun

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Changshu Inst. of Technol., Changshu, China
  • fYear
    2010
  • fDate
    25-27 June 2010
  • Firstpage
    2507
  • Lastpage
    2510
  • Abstract
    Two-Threshold Sequential Algorithm Scheme (TTSAS) is a straightforward clustering algorithm, and do not a priori presume a fixed number of clusters. We show how to accelerate it dramatically, while still always computing exactly the same result as the standard algorithm. The accelerated algorithm TI_TTSAS avoids unnecessary distance calculations by applying the triangle inequality. Experiments show that the new algorithm is more effective for datasets of more dimensions, and becomes more and more effective as the number of clusters increases.
  • Keywords
    data analysis; pattern clustering; statistical analysis; TTSAS cluster algorithm; clustering algorithm; data set; triangle inequality; two-threshold sequential algorithm scheme; Acceleration; Accuracy; Algorithm design and analysis; Clustering algorithms; Data mining; Delay; Inference algorithms; TI_TTSAS; TTSAS; triangle inequality principle;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Control Engineering (ICECE), 2010 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-6880-5
  • Type

    conf

  • DOI
    10.1109/iCECE.2010.620
  • Filename
    5630828