Analysis of Team Relationship using Self-Organizing Map for University Volleyball Players

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In Japan, sports efforts are actively being carried out to host the 2020 Olympic games. Especially in the field of sports science, researches on ergonomics, development of sports equipment and pattern recognition technology using artificial intelligence are actively researched. In previous research, we developed a clustering algorithm for positioning adaptation and relationships in team sports using Self-Organizing Maps in university rugby players. However, I have not yet confirmed whether the developed algorithm can be applied to other team sports. For this reason, we applied the same algorithm to an university volleyball player. Then, as an algorithm, we verify whether it can be generally used for team sports.

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