Study on Urbanization Level Based on Principal Component and Cluster Analysis-A Case Study of Hunan Province

被引：0
|
作者：
Chu, Xianghua [1 ]
Gao, Da [1 ]
Mao, Wenjia [1 ]
Guo, Zihao [2 ]
Huang, Yizhen [1 ]
Li, Li [1 ]
机构：
[1] Shenzhen Univ, Coll Management, Shenzhen, Peoples R China
[2] Shenzhen Univ, Coll Math & Stat, Shenzhen, Peoples R China
来源：
2019 16TH INTERNATIONAL CONFERENCE ON SERVICE SYSTEMS AND SERVICE MANAGEMENT (ICSSSM2019) | 2019年
基金：
中国国家自然科学基金;
关键词：
urbanization level; evaluation index system; principal component analysis; cluster analysis;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, four first-level indicators are selected, and a total of 24 second-level indicators are used to construct an evaluation index system for urbanization development level. Using 14 cities and prefectures in Hunan Province as samples, principal component analysis and cluster analysis were used to analyze and evaluate their urbanization development level. It was found that Changsha had the highest level of urbanization development, and Shaoyang City and Xiangxi Prefecture were the worst. Then we gave explanations and suggestions for adjustment and development.
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页数：8
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