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主成分聚类分析在行业统计数据中的应用
引用本文:张霞.主成分聚类分析在行业统计数据中的应用[J].大众科技,2014(3):210-212.
作者姓名:张霞
作者单位:新疆财经大学,新疆乌鲁木齐830012
摘    要:改革开放以来,在高速发展的中国经济带动下,各行各业有了飞跃的进步。当然,中国经济的发展也离不开各行各业认人士的辛勤劳动。虽然每个人从事的行业有所不同,但是每个人也都能在自己的行业上作出自己的贡献。文章以我国31个行政单位为研究对象,采用主成分聚类分析方法,运用spss19.0版软件,针对按照行业统计的31个行政地区的就业人数数据对31个行政地区进行聚类分析,表明了行业就业人数与地区的经济有关。

关 键 词:行业统计  主成分分析法  聚类分析法

The application of clustering analysis in industry statistical data
Abstract:Since China's reform and opening up, in the rapid development of Chinese economy, the progress of all walks of life has a leap. Of course, China's economic development is inseparable from all walks of life to recognize people's hard work. Although everyone is engaged in the industry is different, but everyone also can in their own industry to make its own contribution. Article 31 administrative units in China as the research object, using the principal component cluster analysis method and spss19.0 version software, according to industry statistics of 31 administrative region's employment data clustering analysis was carried out on the 31 administrative regions, suggests that the industry employment related to the region's economy.
Keywords:Industry statistics  Principal component analysis  clustering analysis
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