摘要
聚类分析是数据挖掘的最主要功能之一,其中CLIQUE算法是综合了基于密度和基于网格的聚类方法,对于大型数据库中的高维数据的聚类非常有效,解决了现有多种聚类算法只能处理低维空间数据的缺陷。通过分析研究聚类中的CLIQUE算法,将其应用于信用卡的审批模型中,能进行高效、智能的判断,为发卡银行提供有效的决策支持。
The cluster analysis is one of the most major functions in data mining,the CLIQUE algorithm is a cluster method based on the density and the grid.It is effective regarding large-scale database＇s in higher dimensional data,can solve many kinds of cluster algorithm in Multi-dimensional,and can not only process lowers spatial data.Through the analytical study of cluster with the CLIQUE algorithm,it was applied in credit card＇s examination model.The system can carry on the intelligent judgment highly effective,to send the card bank to provide the effective policy-making support.
出处
《安徽建筑工业学院学报（自然科学版）》
2011年第1期89-93,共5页
Journal of Anhui Institute of Architecture(Natural Science)
基金
安徽省自然科学基金项目(KJ2009B122)
合肥学院人才科研基金项目(11RC06)
安徽省自然科学基金项目(产学研)(KJ2010B033)
