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
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