用K-均值聚类法改进地震灾害FAPE分类模型  

Improvement in FAPE classification model for earthquake disasters assessment by K-means cluster approach

作　　者：顾建华[1] 毛国敏[1] 吴新燕[1] 

机构地区：[1]中国地震局地球物理研究所,北京100081

出　　处：《自然灾害学报》2008年第1期157-162,共6页Journal of Natural Disasters

基　　金：地震行业科研专项(8-52)

摘　　要：运用K-均值聚类法改进了FAPE地震灾害分类模型,提出了K-FAPE分类法。该方法充分利用已有成灾地震的自身信息,消除了FAPE模型分类的人为干预因素,理论上改进了FAPE模型,从实际结果来看,该分类结果更加合理,能更好地解释现有地震灾害的分类现象,可为今后地震应急响应研究和实际工作提供参考。Using the K-means cluster approach to improve the FAPE classification models of earthquake disaster. The approach can adequately use the information of disaster causing earthquakes, removes interferences created by man, theoretically perfects the FAPE model. The outcome seems more reasonable and gives a better explanation of the existing classification phenomenon of earthquake disaster. The approach can give a reference to future research on emergency response and actual work.

关 键 词：地震灾害 分类 FAPE模型 K-均值聚类法 

分 类 号：X4[环境科学与工程—灾害防治]