Sports Competition Stressors Based on K-Means Algorithm

Abstract

In view of the data characteristics of the sports competition stressor, a new improved hierarchical K-Means algorithm is formed by combining the known partition algorithm K-Means algorithm with the hierarchical algorithm. At the same time, the improved algorithm is really applied to the data of sports competition stressor, and the clustering results are obtained and analyzed. The results show that different types of athletes face different pressures due to their own conditions and external environment, and their stressors are quite different. It is concluded that for different types of players, their own circumstances should be considered. It is necessary to conduct emotional guidance to prevent the negative emotion of the athletes.

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