Classification of high performance archers by means of bio-physiological performance variables via k-nearest neighbour classification model
The present study classified and predicted high and low potential archers from a set of bio-physiological variables trained via a machine learning technique namely k-Nearest Neighbour (k-NN). 50 youth archers drawn from various archery programmes completed a one end archery shooting score test. Bio-...
| Main Authors: | , , , , , |
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| Other Authors: | |
| Format: | Book Section |
| Language: | English English |
| Published: |
Springer Singapore
2018
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/21164/ http://umpir.ump.edu.my/id/eprint/21164/ http://umpir.ump.edu.my/id/eprint/21164/ http://umpir.ump.edu.my/id/eprint/21164/7/Classification%20of%20high%20performance%20archers-fkp-2018-1.pdf http://umpir.ump.edu.my/id/eprint/21164/13/book50%20Classification%20of%20high%20performance%20archers%20by%20means%20of%20bio-physiological%20performance%20variables%20via%20k-nearest%20neighbour%20classification%20model.pdf |