This paper establishes an integrated education model using hierarchical analysis to divide raw data into a number of sample data based on the magnitude of similarity of data attributes. The centroids of the mental health education model were added to the set, and then the set was updated and looped sequentially. Profile coefficients were used to evaluate the clustering results. The evaluation criteria were precision, which is the degree of accuracy in dividing data categories. The maximum value of the assignment profile of mental health education is 96.04, and the maximum score of mental health education popularization excellence is 71.7. It shows that the integrated education model can optimize the content of mental health education, strengthen the integration of innovative entrepreneurship education and mental health education, and achieve the development of the cultivation path of mental and physical health entrepreneurs.