Cluster analysis as an effective tool for identifying physical fitness in students: the basis for an innovative approach to optimizing physical education in the university environment
These findings indicate that cluster analysis is an effective tool for distinguishing physical fitness levels in students. Identification of their performance profiles allows for the optimization of physical education programs.
Authors
- Alena Cepková (ORCID: https://orcid.org/0000-0002-2679-553X)
- Oto Honz
- Ľubomír Šooš (ORCID: https://orcid.org/0000-0003-3161-5609)
- Erika Zemková (ORCID: https://orcid.org/0000-0003-0938-5691)
- Marián Uvaček (ORCID: https://orcid.org/0000-0001-6834-7658)
- Ján Žiška
- Richard Cepka
Institutions
- Slovak University of Technology in Bratislava (SK)
- Comenius University Bratislava (SK)
Publication Details
- Journal
- Frontiers in Physiology
- Published
- 2025-08-29
- DOI
- https://doi.org/10.3389/fphys.2025.1634125
- Citations
- 1
- Primary Topic
- Physical Activity and Health
- Type
- article
- Field-Weighted Citation Impact
- 1.16