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-...
| Príomhchruthaitheoirí: | , , , , , |
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| Formáid: | Caibidil leabhair |
| Teanga: | English English |
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Springer Singapore
2018
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| Ábhair: | |
| Rochtain ar líne: | 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 |
| _version_ | 1825812081077649408 |
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| author | Zahari, Taha Musa, Rabiu Muazu Anwar, P. P. Abdul Majeed Mohamad Razali, Abdullah Ahmad Fakhri, Ab. Nasir M. H. A., Hassan |
| 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 |
| author_sort | Zahari, Taha |
| collection | UMP |
| 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. |
| first_indexed | 2024-03-06T12:23:51Z |
| format | Book Chapter |
| id | UMPir21164 |
| institution | Universiti Malaysia Pahang |
| language | English English |
| last_indexed | 2024-03-06T12:23:51Z |
| publishDate | 2018 |
| publisher | Springer Singapore |
| record_format | dspace |
| spelling | UMPir211642018-08-07T04:23:04Z 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 Chapter 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 |
| 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 |
| title | 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_short | 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 |
| topic | TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering |
| url | 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 |
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