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基于K-means聚类分析算法的浙江省各地级市经济实力现状比较研究及可视化 被引量:3

Comparative Study and Visualization Analysis on Economic Power Status of Prefecture-level Cities in Zhejiang Based on K-means Clustering Analysis Algorithm
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摘要 利用K-means聚类分析算法对浙江省11个地级市经济实力现状进行比较研究.通过R语言编程,将浙江省11个地级市按照经济现状划分为发达地区,中等发达地区以及欠发达地区三个层次,其中发达地区杭州和宁波的各项经济指标跟浙江省其它层次地级市相比具有绝对优势.特别地,利用R语言编程对浙江11个地级市的经济发展现状聚类分析结果进行了可视化分析,并根据分析结果,给出了浙江省经济可持续均衡发展的相关建议. The paper makes a comparative research on the economic powers among 11 prefecture-level cities in Zhejiang province by means of K-means clustering analysis algorithm. These 11 prefecture-level cities are classified into such three levels based on their economic status as developed regions, middle-developed regions and under-developed regions through programming with R-language. All the economic indications from Hangzhou and Ningbo has absolute advantage over other prefecture-level cities. Especially, the visualization analysis of the clustering analysis on their economic development status is conducted through programming with R-language. A couple of proposals for sustainable and balanced economic development in Zhejiang province are provided according to the analysis result.
作者 黄辉林 孙利亚 庄亮亮 HUANG Huilin;SUN Liya;ZHUANG Liangliang(College of Mathematics,Physics and Electronic Information Engineering,Wenzhou University,Wenzhou,China 32503)
出处 《温州大学学报(自然科学版)》 2018年第4期15-20,共6页 Journal of Wenzhou University(Natural Science Edition)
基金 浙江省自然科学基金(LY17A010013) 温州市科技局软科学项目(R20160005) 温州大学大学生创新创业项目(DC2017043)
关键词 K-mean 浙江 经济实力 R语言 可视化 K-means Zhejiang Economic Power R Language Visualization
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