@article{4468,
  author = {Li Huang},
  title = {Improved K-means Algorithm and its Application in University Public Physical Education},
  journal = {Journal of Information Security Research},
  year = {2025},
  volume = {16},
  number = {2},
  doi = {https://doi.org/10.6025/jisr/2025/16/2/45-52},
  url = {https://www.dline.info/jisr/fulltext/v16n2/jisrv16n2_1.pdf},
  abstract = {In the current context, where national sports have established new goals and requirements for university sports, the limitations and one-sidedness of traditional teaching methods have become evident. For the current university public physical education, there is a need for more scientific and effective strategies, which would result in improved teaching efficiency and more engaging teaching content. By introducing the particle swarm algorithm, we can better utilize K-means technology to extract data features and relationships in physical education courses and verify the effectiveness of clustering through information theory. We can also apply this algorithm to university public physical education to improve teaching quality. The application of the improved K-means algorithm can significantly enhance the quality of physical education, providing valuable data support and effectively improving the efficiency of course management, thus better meeting the needs of students.},
}