%A Li Ying Wu Yuanyuan Ning Fujin %T Application of a Modified K-means Clustering Algorithm Based on PSO in Customer Segmentation of Securities Industry %0 Journal Article %D 2010 %J Data Analysis and Knowledge Discovery %R 10.11925/infotech.1003-3513.2010.07-08.16 %P 88-94 %V 26 %N 7/8 %U {https://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/abstract/article_3255.shtml} %8 2010-08-25 %X

According to the deficiencies of K-means clustering,the paper proposes a modified clustering algorithm which uses SD and PSO algorithm, and achieves this integrated algorithm in Java. In the analysis, the authors take customer transaction data of a securities company in Shanghai as an example. By transforming the database into a form suitable for mining, the paper applies the modified clustering algorithm to cluster segmentation model, and the clustering results show that the improved clustering algorithm can get higher quality clustering results.