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1860796910270414848
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INTELEK Repository
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Online Access
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https://intelek.unisza.edu.my/intelek/pages/search.php?search=!collection407072
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| date |
2021-03-22 00:30:04
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Restricted Document
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10649
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UniSZA
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4716-01-FH05-ESERI-21-51619.pdf
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Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML
like Gecko) Chrome/88.0.4324.190 Safari/537.36
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oai_dc
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https://intelek.unisza.edu.my/intelek/pages/view.php?ref=10649
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10649 https://intelek.unisza.edu.my/intelek/pages/view.php?ref=10649 https://intelek.unisza.edu.my/intelek/pages/search.php?search=!collection407072 Restricted Document Book Chapter application/pdf 4 1.6 Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML like Gecko) Chrome/88.0.4324.190 Safari/537.36 Skia/PDF m88 2021-03-22 00:30:04 4716-01-FH05-ESERI-21-51619.pdf UniSZA Private Access Physical fitness parameters in the identification of high-potential sepak takraw players 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. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2020. Springer Springer 41-48 SpringerBriefs in Applied Sciences and Technology
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| spellingShingle |
Physical fitness parameters in the identification of high-potential sepak takraw players
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| summary |
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. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2020.
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| title |
Physical fitness parameters in the identification of high-potential sepak takraw players
|
| title_full |
Physical fitness parameters in the identification of high-potential sepak takraw players
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| title_fullStr |
Physical fitness parameters in the identification of high-potential sepak takraw players
|
| title_full_unstemmed |
Physical fitness parameters in the identification of high-potential sepak takraw players
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| title_short |
Physical fitness parameters in the identification of high-potential sepak takraw players
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| title_sort |
physical fitness parameters in the identification of high-potential sepak takraw players
|