Tracking of Mental Health Management for Students Based on Fuzzy C-Means Clustering Algorithm

In the integration and diversification of education reform and development to continuously improve modern society, as a college student, mental health is the most important. Therefore, the psychological problems of art students are a hot topic in today's society. Based on traditional psychological data, this paper collected, listed, analyzed and excavated the psychological data of students and extracted valuable data from the mental health data of art students by using the Fuzzy C-Means Clustering (FCM) algorithm. Also, the data model was built to effectively further manage, which not only plays the role of prevention but also improves the role of psychological counselling.