广西师范大学学报（自然科学版）2011，Vol.29Issue(3)：101-104,4.
期货公司客户风险管理的模糊聚类分析
Fuzzy Clustering Analysis of Customer Credit Risk of Futures Company
摘要
Abstract
Improved fuzzy clustering and k-means clustering algorithms are applied and compared to analyze customers' credit risk of Futures Companies. The final classification system plays a pivotal role in risk management,development and progress of Futures Companies. These methods provide scientific basis for futures companies to control risks.关键词
期货/客户分类/模糊聚类/K-均值聚类算法Key words
futures/ customer classification/ fuzzy clustering /K-means clustering分类
数理科学引用本文复制引用
沈泽豪,叶中行..期货公司客户风险管理的模糊聚类分析[J].广西师范大学学报（自然科学版）,2011,29(3):101-104,4.基金项目
国家973项目(2007CB814903) （2007CB814903）
中国期货业协会联合研究计划资助项目(第六期,ST201003) （第六期,ST201003）
