Abstract
In this paper, we use K-means algorithm to realize dynamic clustering for the information of personal credit card bills, and through the statistical analysis of the results, we can get the analytics of the general trend of consumer behavior completely. In the experiment, we use K-means Algorithm to implement the clustering and analyze the experimental results which show that the results of this clustering can play a certain role in the analysis of the credit habit of discreditable users and high quality ones.
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