Traditional national sports are recreational activities created by all ethnic groups in labor practice and in line with their own physical activities. As younger generations increasingly gravitate toward digital platforms, this research provides insights into effectively engaging them with traditional sports. By utilizing modern communication strategies, these sports can capture the interest of youth, fostering a new appreciation for cultural heritage. Through mutual integration and penetration, the Chinese traditional physical culture system with distinctive features and profound connotations has been formed, and it has played an irreplaceable role in enhancing national cultural identity, maintaining and deepening national feelings. However, in the face of a large number of ethnic minority cultural resources data with rich content and complex structure, how to quickly and accurately find, obtain and use valuable information has become one of the urgent problems to be solved in the development of ethnic minority information. This paper combines big data processing technology with data mining (DM) technology to study the DM methods of massive minority physical culture resources, and provides an effective way to promote the protection and inheritance of minority physical culture. The experiment shows that PSO kmeans algorithm not only reduces the running time, but also ensures the stability of the algorithm. In the task of ethnic cultural resources clustering, the accuracy rate is improved by 3.4%.