Evaluation System of Urban Environmental Pollution Based on the Principal Component Analysis

被引：0
|
作者：
Zhang, Lin [1 ]
Li, Hongyan [1 ]
机构：
[1] Xinjiang Univ Finance & Econ, Urumqi 830012, XinJiang, Peoples R China
来源：
2016 INTERNATIONAL CONFERENCE ON SMART CITY AND SYSTEMS ENGINEERING (ICSCSE) | 2016年
关键词：
pollution index; principal component analysis; cluster analysis; evaluation;
D O I：
10.1109/ICSCSE.2016.21
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
According to the statistical data of thirty-one cities in China, Principal component analysis is applied to analyze urban pollution. The author found that pollution index in Changsha is the lowest and Urumqi is highest. Using the cluster analysis, thirty-one cities is divided into five types. Finally, the author puts forward suggestions to reduce urban pollution.
引用
收藏
页码：47 / 49
页数：3
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