Computer-Aided Recognition Algorithm for Students' Mental Health Problems using K-means Clustering

被引：0
|
作者：
Chen Y. [1 ]
Li J. [2 ]
机构：
[1] Xiaoshan College, Zhejiang Open University, Hangzhou
[2] Fine Arts Academy of Northeast Normal University, Changchun
来源：
Computer-Aided Design and Applications | 2024年 / 21卷 / S9期
关键词：
Computer-Aided Recognition Algorithm; K-means clustering; mental health; problem recognition; students;
D O I：
10.14733/cadaps.2024.S9.19-37
中图分类号：
学科分类号：
摘要：
In order to improve the recognition and management effect of students' mental health problems, this paper uses K-means clustering algorithm to study the recognition algorithm model of students' mental health problems. Moreover, this paper uses the particle swarm algorithm to identify students' expressions to determine the mental health problems of students, analyzes the convergence of the particle swarm algorithm, and obtains the result that the particle swarm algorithm can converge on the psychological solution problem. In addition, this paper analyzes the improved method of particle swarm algorithm, and obtains the improved particle swarm algorithm with faster solution efficiency and higher precision, and uses MATLAB software to design the program. The experimental results show that the recognition algorithm of students' mental health problems based on K-means clustering proposed in this paper has a certain effect in the mental health management of college students. © 2024 U-turn Press LLC.
引用
收藏
页码：19 / 37
页数：18
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