TY - GEN
T1 - An information gain and hierarchical agglomerative clustering analysis in identifying key performance parameters in elite beach soccer
AU - Musa, Rabiu Muazu
AU - Abdul Majeed, Anwar P.P.
AU - Musa, Azlina
AU - Abdullah, Mohamad Razali
AU - Kosni, Norlaila Azura
AU - Razman, Mohd Azraai Mohd
N1 - Publisher Copyright:
© Springer Nature Singapore Pte Ltd. 2021.
PY - 2021
Y1 - 2021
N2 - The current investigation is aimed at identifying the relevant essential performance parameters (PP) that could discriminate winning and losing performance through the application of multivariate and machine learning analysis. A set of 20 different PP was collected from the Asian beach soccer tournament that constituted information such as, tactical and technical strategies, winning and losing performances. An information gain (IG) analysis is applied to extract the features that could best describe winning and losing performance. Hierarchical agglomerative cluster analysis (HACA) is used to create two different clusters based on the initial 20 PP, and the extracted features from IG whilst a canonical discrimination function analysis was used to ascertain the level of separation ability between the two aforesaid clusters. The IG identified a set of 11 PP that could best describe the winning and losing performances and the HACA formed two distinctive clusters. It is shown that the clusters formed using the 11 PP identified was able to offer an excellent separation of the two teams as opposed to the use of the initial 20 PP. The Canonical Correlation function provided a discrimination power of 0.80 for the 11 PP in comparison to the 0.70 obtained when using the 20 PP. The techniques employed in the present study serve useful in identifying key PP that could best describe winning and losing performances in the elite Asian beach soccer tournament which could assist the coaches in modifying playing strategies to ensure victory.
AB - The current investigation is aimed at identifying the relevant essential performance parameters (PP) that could discriminate winning and losing performance through the application of multivariate and machine learning analysis. A set of 20 different PP was collected from the Asian beach soccer tournament that constituted information such as, tactical and technical strategies, winning and losing performances. An information gain (IG) analysis is applied to extract the features that could best describe winning and losing performance. Hierarchical agglomerative cluster analysis (HACA) is used to create two different clusters based on the initial 20 PP, and the extracted features from IG whilst a canonical discrimination function analysis was used to ascertain the level of separation ability between the two aforesaid clusters. The IG identified a set of 11 PP that could best describe the winning and losing performances and the HACA formed two distinctive clusters. It is shown that the clusters formed using the 11 PP identified was able to offer an excellent separation of the two teams as opposed to the use of the initial 20 PP. The Canonical Correlation function provided a discrimination power of 0.80 for the 11 PP in comparison to the 0.70 obtained when using the 20 PP. The techniques employed in the present study serve useful in identifying key PP that could best describe winning and losing performances in the elite Asian beach soccer tournament which could assist the coaches in modifying playing strategies to ensure victory.
KW - Beach soccer
KW - Discrimination function
KW - Hierarchical agglomerative clustering
KW - Information gain
KW - Performance parameters
UR - http://www.scopus.com/inward/record.url?scp=85090527960&partnerID=8YFLogxK
U2 - 10.1007/978-981-15-7309-5_26
DO - 10.1007/978-981-15-7309-5_26
M3 - Conference Proceeding
AN - SCOPUS:85090527960
SN - 9789811573088
T3 - Lecture Notes in Mechanical Engineering
SP - 269
EP - 275
BT - Advances in Mechatronics, Manufacturing, and Mechanical Engineering - Selected articles from MUCET 2019
A2 - Zakaria, Muhammad Aizzat
A2 - Abdul Majeed, Anwar P.P.
A2 - Hassan, Mohd Hasnun Arif
PB - Springer Science and Business Media Deutschland GmbH
T2 - 11th Malaysian Technical Universities Conference on Engineering and Technology,MUCET 2019
Y2 - 19 November 2019 through 22 November 2019
ER -