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基于K-means算法的学生试卷成绩分析
引用本文:张晓翊,孟德欣,余翠兰.基于K-means算法的学生试卷成绩分析[J].宁波大学学报(理工版),2010,23(4):67-70.
作者姓名:张晓翊  孟德欣  余翠兰
作者单位:1. 江汉大学商学院,湖北武汉,430056
2. 宁波职业技术学院计算机系,浙江宁波,315800
3. 德宏师范高等专科学校计算机系,云南德宏678400;
摘    要:目前在教学管理中,通常采用算术平均线性划分法对学生成绩进行分析评价,难以准确地反映学生真实的学习情况.笔者运用K-means算法对上海市某高级中学某班的一次试卷成绩进行聚类,并对聚类结果进行了详细分析,为制定有效的教学及学习策略提供相关依据.

关 键 词:K-means算法  聚类技术  学生成绩  成绩分析

Examination Grade Analysis Based on K-means Methods
ZHANG Xiao-yi,MENG De-xin,YU Cui-lan.Examination Grade Analysis Based on K-means Methods[J].Journal of Ningbo University(Natural Science and Engineering Edition),2010,23(4):67-70.
Authors:ZHANG Xiao-yi  MENG De-xin  YU Cui-lan
Institution:1.Commercial Institute,Jianghan University,Wuhan 430056,China;2.Department of Computer,Ningbo Ploytechnic,Ningbo 315800,China;3.Department of Computer,Dehong Teacher’s College,Dehong 678400,China)
Abstract:The present teaching management adopts the arithmetical average method to analyze and evaluate students’ performances,which is difficult to truly reflect the states of students learning process.In this paper,based on a fully completed score-sheet of academic performance sampled from a class in a senior high school in Shanghai,the K-means approach is adopted to cluster the examination score,and a detailed analysis is subsequently conducted on the clustering results.The introduced approach proves more realistic and convincing,which can be used for more effective teaching and learning planning.
Keywords:K-means algorithm  clustering  the academic performance  the examination analysis
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