基于K-Medoids算法的大学生体质分类评价模型研究

Research on the Classification and Evaluation Model of College Students’ Physique Based on K-Medoids Algorithm

摘要: 大学生是国家发展重要的后备力量。然而缺乏科学规律的身体锻炼以及熬夜等生活习惯问题使得大学生体质健康检测结果不理想。为了深入分析大学生体质情况现状，建立了一种基于K-medoids算法的大学生体质健康分类评价模型。以某高校的实际体测数据为样本，进行了案例分析，所得结果可应用于学生体质改善方案的制定中。

Abstract: College students are an important reserve force for national development. However, the lack of scientific and regular exercise lifestyle and living habits such as staying up late make college students perform poor in the physical health test of college students. In order to deeply analyze the current situation of college students’ system, we establish a classification and evaluation model of college students’ physical health based on K-medoids algorithm. The actual physical data of a university is taken as a sample to make a case analysis. The results can be used in the formulation of students’ physical fitness improvement program.