A Cluster-classification Model for Personal Credit Assessment

摘要：

A cluster-classification method applied to personal credit data discrimination is proposed in this paper. Through k-means algorithm,the data set is clustered into a proper number of classes before the discrimination process. The experiment proves that the method can distinctly improve the accuracy comparing to the traditional ways.

关键词： clustering credit data discrimination

作者: Xiaoyu Li Hanbing Wei Chao Wang Yi Ji Kun Ren

作者单位: Dept.of Computer Science,Northwestern Polytechnic University,Xian 710129

会议类型: 国际会议

会议名称: 2009 International Conference on Information,Electronic and Computer Science(2009 国际信息、电子与计算机工程学术会议)

会议地点: 青岛

会议语种:英文

页码: 181-184

在线出版日期: 2009-11-21（万方平台首次上网日期，不代表论文的发表时间）