Research on Control Method of Athletes’ Physical Fitness Training Based on Clustering Algorithms

Objectives: Modern sports training attaches more and more importance to the combination of its own characteristics and the use of multi-disciplinary knowledge and methods to improve the athletes’ abilities most needed in the competition. Scientific physical training is an important training section to improve the body’s sports quality, and is an indispensable part of following athletes’ career. Methods: Athletes with outstanding physical fitness can maintain a good state of competition and self-confidence, good physical fitness can also make up for technical deficiencies. Training methods and means are highly targeted. Athletes’ nutrition and recovery are regarded as an important part of physical training. Results: In the usual technical and tactical training, the coaches should pay attention to the normative nature of the basic technical movements of the athletes. Based on the clustering algorithm, this paper analyzes the concept of football physical training. Establish a comprehensive assessment system for athlete training. Conclusion: Combined with physical training practice, the coaches athletes will be given a theoretical lecture on physical training, which will enable the coaches to have a more profound subjective understanding of physical training.