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Cluster Analysis Of The Development Level Of Industry Areas

Posted on:2016-03-14Degree:MasterType:Thesis
Country:ChinaCandidate:Y HuangFull Text:PDF
GTID:2309330464951296Subject:Applied statistics
Abstract/Summary:PDF Full Text Request
Since China’s reform and opening up, with China’s rapid economic development, thus the progress of every industry already has a leap. Science and technology.In our country now is playing a more and more important role in economic development. At present, people have the overall basically reached the well-off level, our country has become one of the most potential power in the world. China’s economy is inseparable from the reform and development of the motherland, is indispensable to the development of science and technology, and cannot be separated from all walks of life to work hard for the hard work of the people. Since reform and opening up, China has been completed is a "five-year plan", in all these years, China’s achievements are obvious to all over the world, China’s economy has been very rapid growth, as the rapid development of the national economy has laid a very solid foundation. The research object of this paper is the industry in the China statistical yearbook 2014 statistics, packets containing year industry statistics and regional industry statistics. In this paper, the main model is the main component- clustering model. The main idea of this model is the principal component analysis of data first, achieve the purpose of dimension reduction; Then after the dimension reduction of data and the selection of principal component cluster analysis, clustering analysis result is obtained. This paper to establish the main component of clustering model has two, one is for 10 years(2003-2013) of data clustering, namely according to the years industry statistics, 10 years into a few hours. The second model is 31 administrative regions for clustering analysis, according to statistics, regional industry sort of 31 regions. To understand China’s current economic development level, and the differences between regions and so on.
Keywords/Search Tags:Clustering Analysis, Principal Component Analysis, SPSS
PDF Full Text Request
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