| 基于PCA的聚类分析在汶川地震灾情分类中的应用 |
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| 引用本文： | 陈丽,张朝元.基于PCA的聚类分析在汶川地震灾情分类中的应用[J].重庆工商大学学报(自然科学版),2013,30(5):17-21. |
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| 作者姓名： | 陈丽 张朝元 |
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| 作者单位： | 1. 大理学院工程学院,云南大理,671003
2. 大理学院数学与计算机学院,云南大理,671003 |
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| 基金项目： | 云南省教育厅科学研究基金项目 |
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| 摘 要： | 利用主成分分析(PCA)运用SPSS软件对汶川地震36个严重受灾县市的8个灾情指标进行了综合分析,得到了累积贡献率为83.403％的3个主成分及其得分；然后,基于3个主成分的得分采用聚类分析对汶川地震36个严重受灾县市进行了分类；得到了全面、合理和科学的分类结果.
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| 关 键 词： | 汶川地震 灾情分类 主成分分析 聚类分析 SPSS软件 |
Application of Cluster Analysis based on Principal Component Analysis on Classification of Disaster in Wenchuan Earthquake |
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| CHEN Li,ZHANG Chao-yuan.Application of Cluster Analysis based on Principal Component Analysis on Classification of Disaster in Wenchuan Earthquake[J].Journal of Chongqing Technology and Business University:Natural Science Edition,2013,30(5):17-21. |
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| Authors: | CHEN Li ZHANG Chao-yuan |
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| Abstract: | First, the synthetic analysis is conducted on 8 disaster indexes of 36 serious disaster-stricken counties and cities in Wenchuan earthquake by principal component analysis of SPSS software. It is gained that the three principal components and scores of cumulative contribution rate of 83.403%.Then, it is classified about 36 serious disaster-stricken counties and cities by cluster analysis based on the scores of three principal component. The classification result is more Comprehensive, rational and scientific. |
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| Keywords: | Wenchuan Earthquake Classification of Disaster Principal Component Analysis Cluster Analysis SPSS software |
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