Design of an Integrated System of Psychological Health Education Resources for Vocational Students Using Fuzzy Clustering Algorithm Analysis

Abstract

Mental health is an important part of the growth of students. Many mental health monitoring systems have many problems. When the resource capacity is large, traditional systems have problems such as poor stability, more resource fragments, and untimely system response. For this reason, this paper designs a system of mental health education resource integration for higher vocational students based on a fuzzy clustering algorithm. It builds the overall system architecture based on the SOA service architecture and designs each functional module of the system so that the system has the functions of teaching resource submission, resource audit management, user service, and resource storage. The density function method is used to initialize the initial resource clustering center to obtain the data clustering objective function, and the fuzzy clustering algorithm is used to establish the task model to realize the integration of the mental health education resources of the vocational students. System verification results show that the system has strong stability, fewer node resource fragments, and higher resource integration efficiency.