Article citationsMore>>

Tokutaka, H., Ohkita, M., Kasezawa, N., & Ohki, M. (2013). Verification of Metabolic Syndrome Checkup Data with a Self-Organizing Map (SOM): Towards a Simple Judging Tool. In P. Estévez, J. Príncipe, & P. Zegers (Eds.), Advances in Self-Organizing Maps (pp. 275-284). Advances in Intelligent Systems and Computing, Vol. 198, Berlin: Springer.
https://doi.org/10.1007/978-3-642-35230-0_28

has been cited by the following article:

• TITLE: Psychological Analysis of Rugby Players Based on Self-Organizing Map (SOM) and Ward’s Method

  AUTHORS: Hongjie Zheng, Takeru Hatachi, Masato Masuda, Koichiro Aoki, Chieko Kato

  KEYWORDS: Psychological Analysis, Rugby Players, Psychological Tests, Self-Organizing Map (SOM), Ward’s Method

  JOURNAL NAME: Advances in Physical Education, Vol.10 No.4, November 11, 2020

  ABSTRACT: This research aimed to analyze the mental level of different players. The targets of the questionnaire were administered to 32 male elite rugby players. Two different types of clustering analysis algorithms: SOM and Ward’s method were used for analysis. Results of SOM and Ward’s method were checked with each other. The two different types of clustering methods were a good match with each other. Furthermore, the results of SOM made clearer visualization than Ward’s method and could help us find more information about the features and relationships of each player. Although SOM had not been seen a lot used for analyzing in sports, this study confirmed that SOM is a very effective analysis method for the sports area.