A cluster analysis and artificial neural network of identifying skateboarding talents based on bio-fitness indicators

• Main Authors: Aina Munirah, Ab Rasid, Muhammad Zuhaili, Suhaimi, Anwar, P. P. Abdul Majeed, Mohd Azraai, Mohd Razman, Mohd Hasnun Ariff, Hassan, Nasree, Najmi, Noor Azuan, Abu Osman, Rabiu Muazu, Musa
• Format: Conference or Workshop Item
• Language: English
• Published: Springer 2023
• Subjects: TJ Mechanical engineering and machinery
• Online Access: http://umpir.ump.edu.my/id/eprint/39749/1/A%20cluster%20analysis%20and%20artificial%20neural%20network%20of%20identifying%20skateboarding%20talents.pdf; http://umpir.ump.edu.my/id/eprint/39749/; https://doi.org/10.1007/978-981-99-0297-2_5

This research aims to identify talented skateboarding athletes with reference to their bio-fitness indicators. A total of 45 skateboarders (23.09 ± 5.41 years) who were playing for recreational purposes were recruited for the study. Standard assessment of their bio-fitness as well as their skateboar...