Physical Health Portrait and Intervention Strategy of College Students Based on Multivariate Cluster Analysis and Machine Learning
With the rapid development of society and technology, the physical health of university students has become a critical concern, influencing both individual well-being and the national talent pool. This study employs an improved K-means algorithm integrated with machine learning models to analyze uni...
Saved in:
| Main Authors: | Rong Guo, Rou Dong, Ni Lu, Lin Yu, Chaoxian Chen, Yonglin Che, Jiajin Zhang, Jianke Yang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-04-01
|
| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/15/9/4940 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A Improving House Price Clustering Results with K-means through the Implementation of One-hot Encoding Pre-processing Technique
by: Vicka Rizqi Maulani, et al.
Published: (2025-06-01) -
Clustering Library Loan Books Using K-Means Clustering
by: Mawar Indah Tanjung, et al.
Published: (2025-03-01) -
Benchmarking validity indices for evolutionary K-means clustering performance
by: Abiodun M. Ikotun, et al.
Published: (2025-07-01) -
Comparison Analysis of Hierarchical Clustering and K-Means Methods in Grouping Provinces in Indonesia Based on Dengue Hemorrhagic Fever (DHF) Cases
by: Alfidha Rahmah, et al.
Published: (2025-08-01) -
Penerapan Algoritma K-Means Clustering Untuk Mengetahui Kemampuan Karyawan IT
by: Dina Zakiyah, et al.
Published: (2022-01-01)