摘要
邮电业是国家重要的社会公用事业,也是现代服务业的重要组成部分,与我们日常的生活息息相关。为此,文章选取邮电行业2013年各月份的数据,借助SPSS统计软件,先采用主成分分析的方法,挖掘各个月份各业务类型的内在联系,把8个业务类型转化3个主成分。再以这3个主成分为变量,对各个月份进行系统聚类分析,从而发现各月份具体业务量分布的差异,从而得出邮电业务水平的时间分布格局,为邮电产业的管理提供一定的依据。
The posts and telecommunications industry not only is an important social public utility, but also an important component of modern service industry. It is closely related to＆amp;nbsp;our daily lives, too. Therefore, this article selected daily eight types of posts and telecommunications industry, picked out the data in 2013 and processed them with SPSS. It first employed the method of principal component analysis to analyze internal relations between the eight types and transformed them into three principal components. Then these principal components were used as variables to cluster the month and find the dif-ferences distribution of monthly business volume. Finally, a time distribution pattern was arrived to provide a reference for the future management of posts and telecommunications indus-tries.
出处
《物流科技》
2014年第10期23-26,共4页
Logistics Sci-Tech
基金
上海市一流学科(系统科学)基金项目
项目编号:XTKX2012
关键词
邮电行业
主成分分析
系统聚类
SPSS
posts and telecommunications industry
principalcomponent analysis
system cluster analysis
SPSS
