大学生身体素质数据的FCM算法聚类及MATLAB实现

College Students' Physical Quality Data Of FCM Algorithm Clustering and Implementation of MATLAB

大学生身体素质的准确分类,直接关系到大学体育分组教学和选才评价的合理性、有效性。传统的模糊聚类分析法有传递闭包法、编网法等.编网法虽然直观,但必须画图,不适合编程应用;传递闭包法需要计算相似矩阵的传递闭包,其计算量随分类对象数目的增加而呈指数规律增加,不宜应用推广。为此,引入FCM算法,采用身体质量指数、肺活量、耐力素质、柔韧力量素质和速度灵巧素质等5个聚类特征量,对大学生身体素质进行模糊聚类分析,利用Xie-Beni有效性指标确定最佳的分类方式,并利用MATLAB软件编程辅助计算.实践证明,该方法操作简便,科学有效,便于应用推广。

Accurate classification of college students＇ physical quality is directly related to college sports group teaching, personnel selection,evaluation of the rationality and effectiveness.The traditional fuzzy clustering analysis is transitive closure method,netting method etc.Although the netting method is intuitive,but it must be drawing,not suitable for application programming;The transitive closure method need to calculate the similarity matrix,but the amount of calculation with the object of classification number increases and increases exponentially,should not be applied to promote.So,we introduction of FCM algorithm,using five clustering characteristics of BMI,lung capacity,endurance,flexibility,power quality and speed of smart quality,Fuzzy Cluster Analysis of college students＇ physical quality,the use of Xie-Beni＇s validity indicators to determine the best method of classification using MATLAB software programming assistant computation.Practice has proved that the method is simple,scientific and effective,easy application and popularization.