The Application of K-Means in Personal Credit Analysis

Ping Han; Jia Jia Chai

doi:10.4028/www.scientific.net/AMR.403-408.2461

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 403-408The Application of K-Means in Personal Credit...

The Application of K-Means in Personal Credit Analysis

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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Periodical:

Advanced Materials Research (Volumes 403-408)

Pages:

2461-2464

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.403-408.2461

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Online since:

November 2011

Authors:

Ping Han, Jia Jia Chai

Keywords:

Discreditable Users, Dynamic Clustering, K-Means Algorithm

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References

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