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| 摘要: |
| 首先，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%的三个主成分及其得分。然后，基于三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。 |
| 关键词: 汶川地震 灾情分类 主成分分析 聚类分析 SPSS软件 |
| DOI： |
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| 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
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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. |
| Key words: Wenchuan Earthquake Classification of Disaster Principal Component Analysis Cluster Analysis SPSS software |
