Application of K-means Algorithm in College Students’ Physical Health Test Results

In order to improve the utilization rate of college students’ physical health data, and deeply analyze physical health data. The k-means algorithm was used to cluster the seven physical health test indexes of boys and girls, mining the physical quality characteristics of boys and girls, and dividing the students into categories; The clustering results showed that: the overall physical quality of girls was better than that of boys, and the lower limb muscle strength and endurance of boys and girls needed to be enhanced. Some girls’ sit-and-reach performance was poor, nearly half of the boys’ pull-up performance was poor, and some boys’ and girls’ vital capacity performance was significantly worse than that of other students; This provides an important reference for physical education teachers to carry out teaching and improve students’ physical quality.