With the acceleration of information technology in university management and the demand of university information continues to strengthen, the campus card is widely used in all aspects of student life, and requires data mining analysis for each sector basis for decision making. As one of the most popular data mining technologies, clustering algorithms are widely used for campus card consumption data mining. Howerve, people don’t know which clustering algorithm is the most suitable for campus card data. This paper carries out experiments with multiple widely used clustering algorithms, obtaining the most appropriate data mining clustering algorithm for the data, and analyzes the reason.