Abstract
Physical health promotion has always been a way for schools to pay close attention to and devote resources to their students' development, physical fitness, and social adaptability. To promote the improvement of students' overall physical quality, we must begin with the foundation and school physical education. This study proposes an improved K-means algorithm based on an analysis of the influencing factors of intelligent optimization of sports facilities and equipment on students' health quality. Clustering analysis is carried out based on two groups of data classified as boys and girls, using the improved K-means algorithm. The findings reveal that the average change trend of physical fitness test items in each male cluster is generally similar, with a moderate change. The change in the average score of physical fitness test items for each cluster of girls in the group showed two distinct valleys, and the trend was complicated. This necessitates schools to invest funds to construct venues and purchase equipment in order to increase the number of sporting events.
Highlights
As an important part of school education, school physical education is an effective way to improve quality education
Whether the venue equipment is ready to be perfected is the key for teachers to achieve teaching objectives and tasks, and whether the venues and equipment can be reasonably used is an important link to improve teaching quality [2, 3]. e venue is the material guarantee implemented by the physical education class
Physical health is our most concerned topic. ere is a close relationship between physical fitness and health, and they are highly similar in terms of “good health.”
Summary
As an important part of school education, school physical education is an effective way to improve quality education It can lay a solid foundation for crazy sports, competitive sports, and lifelong sports and plays an important role in promoting students’ health [1]. There are numerous issues with the construction of sports facilities and equipment, and numerous nuances in the intelligent design of competition venues. Is study tries to find out the factors that affect students’ health quality by investigating the intelligent optimization of sports facilities and equipment. Faced with a large number of student data, it is difficult for teachers to design personalized exercise prescriptions for each student, so as to efficiently and scientifically improve students’ physical quality. According to the characteristics of clustering results, some suggestions for improving physical fitness are put forward
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