Clustering and Evolutionary System Analysis of Data Mining Algorithms in the Field of Football

Football is a competitive sport in China. It plays an important role in modern sports. Its development level directly affects people's health. In recent years, with the advent and popularization of economic globalization and the information age, athletes pay more attention to their own achievements. Therefore, it is particularly necessary to analyze and study the competition rules. Firstly, this paper introduces clustering mining and expounds the development of data mining. Then, the application of clustering mining technology is studied, the system structure of information clustering mining in the field of football is designed, and the relevant information of football players in a football club is extracted for testing. Finally, the test results show that the system can mine specific information from a large number of messy information data, and can effectively analyze the data value and present it to football trainers.