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
Link To Document :
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