Intervention Algorithm of Horse Racing for Students’ Psychological Disorders Based on Big Data

Abstract

Horse racing is a competitive activity in which humans control horses. It is a worldwide traditional sports activity. In the history of human-horse racing, horse racing activities in various eras have been followed but also constantly innovated. According to the K-means clustering algorithm, a cluster analysis model is constructed for the model, and the algorithm model is applied to the students’ mental health counseling work. After six iterations to get the classification and six iterations of the cluster center algorithm, it was found that the mixed psychological population accounted for 50%. Horse racing can not only effectively relieve students’ psychological problems and exercise students’ willpower and thinking ability, but also promote traditional sports. Through K-means clustering algorithm research, frame design, and program design, a complete psychological disorder intervention system is established, which provides scientific, objective, and reliable data guarantee for the correct implementation of decision-making strategies. Integrating cluster analysis into the process of students’ mental health analysis makes it easier for decision-makers to understand and master all aspects of students’ information, to analyze and customize solutions for different types of students. It provides a good foundation for providing different psychotherapeutic methods for different groups of students.