• DocumentCode
    1846891
  • Title

    Smart: Novel self splitting-merging clustering algorithm

  • Author

    Fa, Rui ; Nandi, Asoke K.

  • Author_Institution
    Dept. of Electr. Eng. & Electron., Univ. of Liverpool, Liverpool, UK
  • fYear
    2012
  • fDate
    27-31 Aug. 2012
  • Firstpage
    2198
  • Lastpage
    2202
  • Abstract
    In this paper, we propose a new self splitting-merging clustering algorithm, named splitting-merging awareness tactics (SMART). The novel framework, which integrates many techniques, starts with one cluster and employs a splitting-while-merging process. The SMART has self-awareness to split and merge the clusters automatically in iterations. Both the framework and the techniques are detailed and illustrated by a good benchmark test. Furthermore, three microarray gene expression datasets are studied using our approach. The numerical results show that our proposal is automotive and effective.
  • Keywords
    pattern clustering; SMART; automotive; microarray gene expression datasets; self splitting-merging clustering algorithm; splitting-merging awareness tactics; Algorithm design and analysis; Benchmark testing; Clustering algorithms; Gene expression; Merging; Partitioning algorithms; Signal processing algorithms; microarray; self splitting-merging clustering algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Conference (EUSIPCO), 2012 Proceedings of the 20th European
  • Conference_Location
    Bucharest
  • ISSN
    2219-5491
  • Print_ISBN
    978-1-4673-1068-0
  • Type

    conf

  • Filename
    6333843