一种挖掘中小企业集群群落结构的聚类分析方法  

A Clustering Analysis Method to Research Community Structure of Mid-small Enterprises Cluster

作　　者：肖冰[1,2] 李从东[2] 姚国祥[3] 余明辉[1] 

机构地区：[1]广州番禺职业技术学院信息工程学院,广东广州511483 [2]暨南大学管理学院,广东广州510632 [3]暨南大学信息工程学院,广东广州510632

出　　处：《河南科技大学学报（自然科学版）》2010年第4期49-52,共4页Journal of Henan University of Science And Technology:Natural Science

基　　金：广东省自然科学基金项目(07005962);广东省软科学课题(2008B070800030);广州市哲学社会科学"十一五"规划课题(07Z14)

摘　　要：中小企业集群具有群落结构的结构特性,本文在分析中小企业集群数据对象的基础上,提出了一种利用聚类分析的k-均值算法挖掘中小企业集群群落结构的方法,即中小企业集群的k-均值算法。并用算例说明了该算法在挖掘中小企业集群群落结构中的可行性。探讨了群落结构在中小企业集群发展中所起的作用。Mid-small enterprises cluster has the structural property of community structure.On the basis of analysis data of mid-small enterprises cluster,a method to research the community of mid-small enterprises cluster was presented by using the k-means algorithm of clustering analysis,that is k-means algorithm of mid-small enterprises cluster.The algorithm feasibility on researching the community of mid-small enterprises cluster was explained with an example.At last,the important role of the community on developing mid-small enterprises cluster was discussed.

关 键 词：聚类分析 中小企业集群 K-均值算法 群落结构 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构] F270[自动化与计算机技术—计算机科学与技术]