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基于快速K均值聚类的经济水平与货运量模型
引用本文:李霞,邵春福,曹鹏.基于快速K均值聚类的经济水平与货运量模型[J].吉林大学学报(工学版),2008,38(5):1040-1043.
作者姓名:李霞  邵春福  曹鹏
作者单位:1. 北京交通大学交通运输学院,北京,100044
2. 交通部公路科学研究院,北京,100088
基金项目:国家重点基础研究发展计划(973计划)
摘    要:应用快速K均值聚类方法对我国各地区工业生产水平、单位生产的货运量进行聚类分析。根据各省市在分类成员表中的类别归属,对横截面分类数据作了进一步的回归分析。选取工业生产水平和货运量的对数为2个聚类因子,得出了5个聚类。通过定性和定量相结合的方法得出我国各地区的经济水平与货运量增长速度之间的定量关系模型,模型的相关系数介于0.901~0.982,置信度较高。

关 键 词:交通运输系统工程  快速K均值聚类  经济水平  货运量  回归分析
收稿时间:2007-03-28

Economy level and freight model utilizing quick K-means cluster method
LI Xia,SHAO Chun-fu,CAO Peng.Economy level and freight model utilizing quick K-means cluster method[J].Journal of Jilin University:Eng and Technol Ed,2008,38(5):1040-1043.
Authors:LI Xia  SHAO Chun-fu  CAO Peng
Affiliation:1.School of Traffic and Transportation Engineering;Beijing Jiaotong University;Beijing 100044;China;2.Research Institute of Highway Ministry of Communications;Beijing 100088;China
Abstract:The cluster analysis for the industry production level and the freight volume of different regions in China were performed using the quick K-means cluster method to gain the classification in the cluster membership.A further regression analysis for the sectional classification data was made based on the classification data in the cluster membership of different provinces and cities in China.Five clusters were achieved using the logarithms of the industry product level and the freight volume as 2 cluster fac...
Keywords:engineering of communications and transportation system  quick K-means cluster  economic level  freight volume  regression analysis  
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