Research on the Application of Kohonen Neural Networks in Football Clustering Analysis

This study applies Kohonen neural networks for clustering analysis in sports. By iteratively optimizing the objective function, it effectively avoids numerous subjective factors, providing a novel and efficient approach for obtaining objective clustering results. The results demonstrate that clustering analysis using Kohonen neural networks offers a clear practical value in evaluating the comprehensive strength of soccer teams. It serves as an effective method for rational, effective, objective, and quantifiable assessment of team tactics and strategies. Furthermore, this method is readily applicable to other comprehensive evaluations in competitive sports.