聚类分析及其在我国各省经济发展水平分类研究中的应用  

Clustering Analysis and Its Application on Classification's Research of Each City's Economy Development Level of Our Country

作　　者：王翠云[1] 胡学平[1] 

机构地区：[1]安庆师范学院数学与计算科学学院,安徽安庆246133

出　　处：《安庆师范学院学报（自然科学版）》2014年第4期36-41,共6页Journal of Anqing Teachers College(Natural Science Edition)

基　　金：安徽省高校自然科学基金重点项目(KJ2013A179)资助

摘　　要：聚类分析是一种寻求客观分类的方法,它是多元统计分析中三大实用方法之一。本文首先对聚类分析的各种算法进行分类与介绍;然后总结了聚类分析在经济、生物、电子商务、保险等方面的一些应用,并对两类应用较广泛的聚类算法进行对比分析;最后结合SPSS软件,分别运用系统聚类法和K-均值聚类法对我国31个省区经济发展水平进行分类,发现二者分类结果相同,且与我国现阶段各省各地区经济发展现状吻合度较高。Clustering analysis is an objective method to classify things.It’s one of the three practical means in multivariate statistical analysis.First of all, this article classifies and recommends the various kinds algorithms of the clustering analysis , and then sums up the clustering analysis’ s applications on Economy, Organisms, Electronic Commerce, Insurance and so on.Be-sides, it conducts a comparative analysis upon two clustering algorithms which are extensively used.Finally , it classifies 31 prov-inces’ economy development level of our country by means of System clustering method and K-means clustering method combining the software of SPSS, and then discovers that the results of two classification method are similar.Apart from that, they are all iden-tical with every province’s economy recent development level of our country.

关 键 词：聚类分析 谱系聚类法 动态聚类法 分割聚类法 算法 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]