Cross-layer AP improved clustering method with optimal global user rate, medium and device

The invention provides a cross-layer AP improved clustering method with the optimal global user rate, a medium and a device. The method comprises the following steps: acquiring content request similarity according to collected user behavior characteristics; obtaining social similarity according to the collected user behavior characteristics; position information is obtained, a communication distance is calculated, and a corresponding threshold value is set; calculating a communication rate as a first input matrix; representing a second input matrix of the AP algorithm by using the content request similarity, the social similarity and the communication distance, substituting the two matrixes into the AP algorithm for iteration to obtain two corresponding iteration matrixes, and calculating to obtain a # imgabs0 # matrix attribution degree matrix; and judging whether a clustering result meets a threshold condition or not through mutual iteration to convergence of the round of algorithm, storing and recording th