• DocumentCode
    2798120
  • Title

    Latent variable study algorithm based on grey cluster relation analysis method

  • Author

    Qu Ying ; Jia Jian ; Wu Qi-zong

  • Author_Institution
    HeiBei Univ. of Sci. & Technol., Shijiazhuang, China
  • fYear
    2009
  • fDate
    17-19 June 2009
  • Firstpage
    3604
  • Lastpage
    3607
  • Abstract
    A latent variable study algorithm based on grey cluster relation analysis method was proposed. Grey cluster method give a preliminary statistical analysis on existing data, thus the relationship among variables were established and candidate pre-models of Bayesian was built up. Compared with the existing heuristic methods, it could effectively reduce the pre-model search space, decrease the call times of EM Algorithm. The study progress of latent structure is simplified, so the efficiency of it was improved to some extent.
  • Keywords
    grey systems; heuristic programming; pattern clustering; statistical analysis; grey cluster relation analysis method; heuristic methods; latent variable study algorithm; statistical analysis; Algorithm design and analysis; Bayesian methods; Clustering algorithms; Statistical analysis; Technology management; Bayesian Network; Grey Cluster; Latent Variable; Pre-Model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference, 2009. CCDC '09. Chinese
  • Conference_Location
    Guilin
  • Print_ISBN
    978-1-4244-2722-2
  • Electronic_ISBN
    978-1-4244-2723-9
  • Type

    conf

  • DOI
    10.1109/CCDC.2009.5192732
  • Filename
    5192732
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2798120