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An improved clustering method to evaluate teaching based on ABC–FCM
Liu Y(刘洋); Tian LW(田力威); Hu KY(胡琨元)
作者部门信息服务与智能控制技术研究室
发表期刊World Transactions on Engineering and Technology Education
ISSN1446-2257
2013
卷号11期号:2页码:64-69
收录类别EI
EI收录号20133416640666
产权排序1
其他摘要Clustering is a popular data analysis and data mining technique. Among the many approaches developed for clustering, a popular method is the fuzzy c-means (FCM) algorithm. The artificial bee colony (ABC) algorithm is an optimization algorithm based on a particular intelligent behavior of honeybee swarms. In this article, a novel hybrid clustering algorithm to evaluate teaching processes based on the ABC-FCM algorithm is proposed. The novel algorithm can improve the optimization ability of the original FCM algorithm and improve the convergence speed. Experimental results are presented to verify the feasibility and effectiveness of the proposed approach.
语种英语
文献类型期刊论文
条目标识符http://ir.sia.cn/handle/173321/14011
专题信息服务与智能控制技术研究室
通讯作者Liu Y(刘洋)
作者单位1.Chinese Academy of Sciences, Shenyang City, China
2.Shenyang University, Shenyang City, China
推荐引用方式
GB/T 7714
Liu Y(刘洋),Tian LW(田力威),Hu KY(胡琨元). An improved clustering method to evaluate teaching based on ABC–FCM[J]. World Transactions on Engineering and Technology Education,2013,11(2):64-69.
APA Liu Y,Tian LW,&Hu KY.(2013).An improved clustering method to evaluate teaching based on ABC–FCM.World Transactions on Engineering and Technology Education,11(2),64-69.
MLA Liu Y,et al."An improved clustering method to evaluate teaching based on ABC–FCM".World Transactions on Engineering and Technology Education 11.2(2013):64-69.
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