Application of Cloud Computing Clustering Mining Algorithm in Logistics Scheduling Information

To solve the problem of large amount of logistics data and difficult distribution scheduling, this paper proposes the logistics data clustering analysis based on the combination of Prime algorithm and K-means clustering algorithm based on cloud computing to classify the logistics data of cloud platform. On this basis, considering the cost of distribution, the ant colony algorithm is used to optimize the route of order distribution. Finally, the simulation results show that the algorithm used in this paper has fewer iterations and high clustering accuracy, and the load ratio is more than 80% in order distribution, which effectively reduces the cost of logistics distribution.