Rabiu Muazu, Musa and Anwar, P. P. Abdul Majeed and Norlaila Azura, Kosni and Mohamad Razali, Abdullah (2020) Physical fitness parameters in the identification of high-potential sepak takraw players. In: Machine Learning in Team Sports: Performance Analysis and Talent Identification in Beach Soccer & Sepak-takraw. SpringerBriefs in Applied Sciences and Technology . Springer, Singapore, pp. 41-48. ISBN 978-981-15-3218-4
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Abstract
This chapter evaluates the significance of different physical fitness parameters towards identifying the fitness level of potential sepak takraw players. The discrimination between high and low-fit players was carried out through hierarchical agglomerative cluster analysis (HACA). In addition, a k-nearest neighbour (k-NN) classifier was developed and evaluated towards its efficacy in classifying the fitness nature of the players. It was demonstrated from the study that the proposed methodology could ascertain the fitness level of the players accurately.
| Item Type: | Book Chapter |
|---|---|
| Additional Information: | Indexed by Scopus |
| Uncontrolled Keywords: | Cluster analysis; Nearest neighbor search |
| Subjects: | G Geography. Anthropology. Recreation > GV Recreation Leisure Q Science > QP Physiology T Technology > TJ Mechanical engineering and machinery |
| Faculty/Division: | Faculty of Manufacturing and Mechatronic Engineering Technology |
| Depositing User: | Pn. Hazlinda Abd Rahman |
| Date Deposited: | 09 Jan 2026 00:40 |
| Last Modified: | 09 Jan 2026 00:40 |
| URI: | https://umpir.ump.edu.my/id/eprint/30150 |
| Statistic Details: | View Download Statistic |
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