• DocumentCode
    2736880
  • Title

    Robust Clustering on Rules Usage Classification of OJT with Raw Rule Score

  • Author

    Lin, Yuan-Horng ; Hung, Wen-Liang

  • Author_Institution
    Nat. Taichung Univ., Taichung
  • fYear
    2007
  • fDate
    5-7 Sept. 2007
  • Firstpage
    248
  • Lastpage
    248
  • Abstract
    The purpose of this study is to analyze the rule usage of OJT by a robust clustering, called similarity- based clustering method (SCM) proposed by Yang and Wu (2004), with raw rule score. The clustering result of SCM indicates that five groups are the best classifications of rule usage. Each group represents one rule or mixture of rules with which fits the theoretic foundation of rule usage of OJT. It also shows that patterns of rule usage vary with different grade of subjects, but not with gender.
  • Keywords
    pattern classification; pattern clustering; orange juice test; raw rule score; robust clustering; rules usage classification; similarity-based clustering; Clustering algorithms; Clustering methods; Couplings; Data analysis; Educational institutions; Mathematics; Noise reduction; Problem-solving; Robustness; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovative Computing, Information and Control, 2007. ICICIC '07. Second International Conference on
  • Conference_Location
    Kumamoto
  • Print_ISBN
    0-7695-2882-1
  • Type

    conf

  • DOI
    10.1109/ICICIC.2007.493
  • Filename
    4427893