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.
出处
《河南科技大学学报（自然科学版）》
CAS
北大核心
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)
关键词
聚类分析
中小企业集群
K-均值算法
群落结构
Clustering analysis
Mid-small enterprises cluster
k-means algorithm
Community structure
