An Improved Expeditious Meta-Heuristic Clustering Method for Classifying Student Psychological Issues with Homogeneous Characteristics

Nowadays, cluster analyses are widely used in mental health research to categorize student stress levels. However, conventional clustering methods experience challenges with large datasets and complex issues, such as converging to local optima and sensitivity to initial random states. To address the...

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Bibliographic Details

Published in:	Mathematics
Main Authors:	Muhammad Suhail Shaikh, Xiaoqing Dong, Gengzhong Zheng, Chang Wang, Yifan Lin
Format:	Article
Language:	English
Published:	MDPI AG 2024-05-01
Subjects:	optimization clustering algorithm <i>i</i>GWCA stress levels academic performance academic community
Online Access:	https://www.mdpi.com/2227-7390/12/11/1620