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基于模糊C 均值聚类的体育教学分组
引用本文:李雷,李龙.基于模糊C 均值聚类的体育教学分组[J].天津体育学院学报,2005,20(5):79-80.
作者姓名:李雷  李龙
作者单位:1. 淮阴师范学院,体育系,淮安,223001
2. 长沙理工大学,体育部,长沙,410077
摘    要:运用模糊C均值聚类等研究方法,对体育教学分组方法进行分析,提出基于模糊C均值聚类的教学分组方法。结论认为:该方法通过采用模糊划分,考虑了教学分组中的模糊现象;通过提取学生的身体素质指标,即50m跑、1000m跑、立定跳远、引体向上和铅球作为聚类的特征量,从而实现了按照学生身体素质的相似程度来进行合理的教学分组,以适应因材施教的教学要求。并且运用Matlab6.5编制出教学分组的计算机程序,该程序具有语言简单、运行速度快的特点。

关 键 词:体育教学分组  模糊C均值聚类  身体素质
文章编号:1005-0000(2005)05-0079-02
收稿时间:2005-01-22
修稿时间:2005-01-222005-06-10

Grouping Method Based on Fuzzy C- mean Clustering in PE Teaching
LI Lei,LI Long.Grouping Method Based on Fuzzy C- mean Clustering in PE Teaching[J].Journal of Tianjin Institute of Physical Education,2005,20(5):79-80.
Authors:LI Lei  LI Long
Institution:Dept. of PE, Huaiyin Normal Institute, Huaian 223002, China;Dept. of PE, Changsha University of Science and Technology, Changsha 410077, China
Abstract:The scientific and rational grouping is one important task in PE teaching reformation. In order to achieve accurate grouping,the fuzzy C-mean clustering algorithm was introduced,and furthermore the grouping method based on fuzzy C-mean clustering was proposed. This method takes into account the fuzzy phenomena in grouping by using fuzzy partition,and extracts students' physical fitness indices,i.e.,50m running,1000m running,standing long jump,chin-up and shot-put as clustering features so that the grouping is achieved according to the similarity of students' physical fitness to satisfy edu-cation demand that students are taught in accordance of their aptitude. The computer program of the grouping method is developed with Matlab 6.5,which is simple and runs fast.
Keywords:grouping in PE teaching  fuzzy C-mean cluster  physical fitness
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