In order to solve the problem that the analysis of policyholders’ information lack of considering to analyse policyholders’ credit

this paper gives a kind of K-means clustering algorithm that further improved initial center of cluster on environment condition for large sample in terms of cluster analysis theory and trait of policyholders’ database

investigates that the algorithm excavates the practice application of policyholders’ credit analysis through clients’ datum of a property insurance company.