Research on mental health education of college students based on k-means algorithm

The research on the mental health education of college students is of great significance to improve the mental health level and quality of college students. In terms of research methods, there are both traditional statistical methods of survey data and current research methods of mathematical model algorithm analysis. This paper first collected the relevant data of 11943 college students, including age, gender, somatization, obsessive-compulsive disorder, interpersonal relationship and other 12 factors. Then descriptive analysis of the data is carried out on the basis of data collection. Finally, the K-means algorithm in cluster analysis is used to cluster the mental health problems of college students of all ages and the mental health problems of college students of all ages, and the clustering effect is better when k=4. After the final clustering results are obtained, the results are analyzed and relevant conclusions are drawn and relevant suggestions are put forward. The K-means algorithm used in this paper has a good effect on the analysis of mental health problems, and provides great help for improving the research of mental health education path of college students, which is of great significance.