基于主成分分析方法的聚类分析方法在灾情综合分类中的应用  

Principal Component Method Based on Cluster Analysis Applying on Classification of Earthquake Disaster

作　　者：张永利[1] 傅俊伟[2] 

机构地区：[1]黑龙江科技学院理学院,黑龙江哈尔滨150027 [2]齐齐哈尔大学理学院,黑龙江齐齐哈尔161006

出　　处：《佳木斯大学学报（自然科学版）》2011年第2期296-299,共4页Journal of Jiamusi University：Natural Science Edition

基　　金：黑龙江省教育厅科学技术研究项目(11541316)

摘　　要：通过主成分分析方法选取地震的主要灾情指标,运用SPSS软件中的聚类分析方法,对汶川地震时,四川省各受灾地区按系统聚类法进行聚类分析,得出地区灾情综合分类.所得结果与原文给出结果基本一致,进而验证了基于主成分分析的聚类分析方法在灾情综合分类中应用的合理性.并且,提供了一种正确进行灾情评价和物资分配的有效方法.In this paper, key indicators of earthquake disaster were selected by principal component analysis. By means of clustering analysis method of SPSS software, the disaster areas were classified according to the affected area of Wenchuan earthquake in Sichuan Province. And the area disaster classification was given. The results were consistent with the original results. And it is proved that the principal component method based on the cluster analysis applies on the disaster area classification is reasonable. The disaster classification provides an effective way of disaster assessment and proper distribution of supplies.

关 键 词：聚类分析 主成分分析 面积加权平均烈度 地质灾害危险度 转移安置率. 

分 类 号：F224[经济管理—国民经济]