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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-...

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Bibliographic Details
Main Authors: Zahari, Taha, Musa, Rabiu Muazu, Anwar, P. P. Abdul Majeed, Mohamad Razali, Abdullah, Ahmad Fakhri, Ab. Nasir, M. H. A., Hassan
Other Authors: Mohd Hasnun Ariff, Hassan
Format: Book Section
Language:English
English
Published: Springer Singapore 2018
Subjects:
TA Engineering (General). Civil engineering (General)
TK Electrical engineering. Electronics Nuclear engineering
Online Access: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
http://umpir.ump.edu.my/id/eprint/21164/
https://doi.org/10.1007/978-981-10-8788-2_33
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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
http://umpir.ump.edu.my/id/eprint/21164/
https://doi.org/10.1007/978-981-10-8788-2_33

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