Exploring the development of students’ sports interests in college smart physical education based on cluster analysis

This paper firstly analyzes the smart campus, gives the six-dimensional assessment model of the smart campus, and understands that college smart sports are a new type of manifestation of smart sports in colleges and universities. Secondly, it constructs the intelligent sports education platform model of colleges and universities based on cluster analysis and utilizes the K-means algorithm to calculate the metrics and analyze the data by clustering. Finally, taking the college students majoring in physical education at University B as the research object, the students’ sports interest cluster analysis was conducted based on the cluster analysis of the student’s application of the smart sports education platform. The results show that the horizontal coordinate K=3 tends to level off, which is the recommended optimal K value, and the clustering can be completed by using the K-Means clustering method, and the average standardized scores of each clustered variable of athletic students’ sports interests are the highest, and all of them are positive, which are 0.6, 1.2, 1, 0.8, and 0.85, respectively.