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-...

Full description

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/ 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

id	ump-21164
recordtype	eprints
spelling	ump-211642018-08-07T04:23:04Z http://umpir.ump.edu.my/id/eprint/21164/ Classification of high performance archers by means of bio-physiological performance variables via k-nearest neighbour classification model Zahari, Taha Musa, Rabiu Muazu Anwar, P. P. Abdul Majeed Mohamad Razali, Abdullah Ahmad Fakhri, Ab. Nasir M. H. A., Hassan TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering 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-physiological measurements of systolic blood pressure, diastolic blood pressure, resting respiratory rate, resting heart rate and dietary intake were taken. Multiherachical agglomerative cluster analysis was used to cluster the archers based on the variables tested into low, medium and high potential archers. Three different k-NN models namely fine, medium and coarse were trained based on the measured variables. The five-fold cross-validation technique was utilised in the present investigation. It was shown from the present study, that the utilisation of k-NN is non-trivial in the classification of the performance of the archers. Springer Singapore Mohd Hasnun Ariff, Hassan 2018-04-28 Book Section PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/21164/7/Classification%20of%20high%20performance%20archers-fkp-2018-1.pdf pdf en 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 Zahari, Taha and Musa, Rabiu Muazu and Anwar, P. P. Abdul Majeed and Mohamad Razali, Abdullah and Ahmad Fakhri, Ab. Nasir and M. H. A., Hassan (2018) Classification of high performance archers by means of bio-physiological performance variables via k-nearest neighbour classification model. In: Intelligent Manufacturing & Mechatronics: Proceedings of Symposium, 29 January 2018, Pekan, Pahang, Malaysia. Lecture Notes in Mechanical Engineering . Springer Singapore, Singapore, pp. 377-384. ISBN 9789811087875 https://doi.org/10.1007/978-981-10-8788-2_33 DOI: 10.1007/978-981-10-8788-2_33
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English English
topic	TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering Zahari, Taha Musa, Rabiu Muazu Anwar, P. P. Abdul Majeed Mohamad Razali, Abdullah Ahmad Fakhri, Ab. Nasir M. H. A., Hassan Classification of high performance archers by means of bio-physiological performance variables via k-nearest neighbour classification model
description	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-physiological measurements of systolic blood pressure, diastolic blood pressure, resting respiratory rate, resting heart rate and dietary intake were taken. Multiherachical agglomerative cluster analysis was used to cluster the archers based on the variables tested into low, medium and high potential archers. Three different k-NN models namely fine, medium and coarse were trained based on the measured variables. The five-fold cross-validation technique was utilised in the present investigation. It was shown from the present study, that the utilisation of k-NN is non-trivial in the classification of the performance of the archers.
author2	Mohd Hasnun Ariff, Hassan
author_facet	Mohd Hasnun Ariff, Hassan Zahari, Taha Musa, Rabiu Muazu Anwar, P. P. Abdul Majeed Mohamad Razali, Abdullah Ahmad Fakhri, Ab. Nasir M. H. A., Hassan
format	Book Section
author	Zahari, Taha Musa, Rabiu Muazu Anwar, P. P. Abdul Majeed Mohamad Razali, Abdullah Ahmad Fakhri, Ab. Nasir M. H. A., Hassan
author_sort	Zahari, Taha
title	Classification of high performance archers by means of bio-physiological performance variables via k-nearest neighbour classification model
title_short	Classification of high performance archers by means of bio-physiological performance variables via k-nearest neighbour classification model
title_full	Classification of high performance archers by means of bio-physiological performance variables via k-nearest neighbour classification model
title_fullStr	Classification of high performance archers by means of bio-physiological performance variables via k-nearest neighbour classification model
title_full_unstemmed	Classification of high performance archers by means of bio-physiological performance variables via k-nearest neighbour classification model
title_sort	classification of high performance archers by means of bio-physiological performance variables via k-nearest neighbour classification model
publisher	Springer Singapore
publishDate	2018
url	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
first_indexed	2023-09-18T22:30:56Z
last_indexed	2023-09-18T22:30:56Z
_version_	1777416281181388800

Classification of high performance archers by means of bio-physiological performance variables via k-nearest neighbour classification model

Similar Items