An Analysis of Regional Product by Three Strata of Industry Based on K-means Method
This study applies cluster analysis Kmeans method to analyze the data of regional product by Three Strata of Industry in China. Firstly, we give a review of Kmeans method, according to selforganizing feature maps we determine the number of clusters, and then employ the Kmeans method to find the clusters. From the cluster analysis we get four clusters and conclude that the membership in Cluster 1 are all municipalities with the highest value of Per Capita GRP and the highest percentage composition of Tertiary Industry. It shows that the economy of this cluster is developed. Cluster 2 with the lowest composition of Tertiary Industry should enhance the development of Tertiary Industry. The Secondary Industry of Cluster 3 is the most developed. The most provinces in China concentrate in Cluster 4 with the lowest Per Capita GRP need to enhance both Secondary Industry and Tertiary Industry.
K-meansmethod clusteranalysis ThreeStrataofIndustry
国际会议
广州
英文
1-4
2011-05-13（万方平台首次上网日期，不代表论文的发表时间）