基于聚类分析的天津市大学生体质健康评价分级模型研究

Study on an Evaluation Classification Model of Physical Health of University Students in Tianjin based on Clustering Analysis

为完成对大学生体质健康状况快速有效的评价,运用聚类分析构建原始数据的分级模型。按照国家规定标准对天津49所大学的全日制大一、大二在校大学生进行体质健康测试,结果显示,采用聚类分析构建的分级模型对大学生体质健康进行评价可以提高评价效率和精确程度,说明运用本模型可对学生个体或群体进行综合评价,实现对学生体质健康类别的科学快速分类。

In order to realize fast and effective evaluation on physical health of university students in Tianjin, a physical health test for freshmen and sophomores from 49 universities and colleges in Tianjin, which was in accordance with the physical health of national standard, was carried out. The result showed that, the adoption of constructed clustering model improved the efficiency and accuracy of the evaluation on university students＇ physical health. It was concluded that it was feasible to classify physical health of university students through application of this classification model, which can evaluate physical health of either individuals or groups.