Mental Health Evaluation of College Students Based on Similar Trajectory Clustering Algorithm

In order to improve the accuracy of college students' mental health evaluation method, this paper proposes a method of college students' mental health evaluation based on similar trajectory clustering algorithm. Similar trajectory clustering algorithm is used to mine the psychological data of college students, build the evaluation model of college students' mental health, and extract the rules of college students' mental health evaluation. The experimental results show that the similar trajectory clustering algorithm can effectively classify the mental health status of college students and improve the accuracy of College Students' mental health evaluation.