• DocumentCode
    1654239
  • Title

    A Novel Clustering-Ensemble Approach

  • Author

    Kong, Zhizhou ; Wei, Lai ; YANG, Shenggang ; GUAN, Dong ; Cai, Zixing

  • Author_Institution
    Hunan Univ., Changsha
  • fYear
    2008
  • Firstpage
    722
  • Lastpage
    724
  • Abstract
    Clustering Ensemble is more and more becoming a new hotspot to improve clustering performance since it was firstly presented in 2002. Through using the mechanism of the integrate mechanism of testing and information rolling method to decrease the error probability of matching cluster members, and using a method of category weight to ensemble clustering members, this paper proposes a novel Clustering Ensemble algorithm. Experiments show that this algorithm could effectively improve the clustering results.
  • Keywords
    learning (artificial intelligence); pattern clustering; clustering ensemble approach; error probability; information rolling; testing; Clustering algorithms; Computer aided instruction; Diversity reception; Educational institutions; Error probability; Finance; Fuses; Information science; Statistics; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Biomedical Engineering, 2008. ICBBE 2008. The 2nd International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-1747-6
  • Electronic_ISBN
    978-1-4244-1748-3
  • Type

    conf

  • DOI
    10.1109/ICBBE.2008.176
  • Filename
    4535056