广东省城市综合分类研究  

Guangdong Province City Synthesis Classification Research

作　　者：朱新[1] 张未未[1] 

机构地区：[1]惠州学院数学系,广东惠州516015

出　　处：《惠州学院学报》2009年第6期55-61,共7页Journal of Huizhou University

摘　　要：首先着重用SAS中主成分分析与系统聚类分析对广东省21个城市进行分类,然后用自组织特征神经网络的聚类分析对广东省21个城市分类情况进行验证,这两种方法都把广东21个城市分为6类,分类结果很相似。This article focuses on using the first principal component analysis of SAS and hierarchical cluster analysis classify fication to 21 cities in Guangdong Province ,and then use self- organizing neural network for cluster analysis on the classification of 21 cities in Guangdong Province. The classification of two methods are divided into 6 categories in Guangdong 21 cities. Classification results are similar and explain the results of this classification is valid. Practical application can guide the different types of cities with the results.

关 键 词：聚类分析 主成分分析 自组织神经网络 累积贡献率 

分 类 号：X21[环境科学与工程—环境科学]