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Applying Self Organization Maps to Cluster Analysis of Regional Industrial Structures

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Robot Intelligence Technology and Applications 3

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 345))

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Abstract

Using the SOM method, this paper mainly makes the clustering analysis on industrial structures of Chinese provinces and the United States. As the analysis results shown, regional industrial structures can be significantly clustered into several areas with different characteristic. Further analysis results indicate that industrialization process leads to the differences of Chinese regional industrial structures, while such differences in the United States depends on the tertiary industry level. These statistics results show the correlation between national industrial structure and economic development.

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Correspondence to Hou Aoyu .

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© 2015 Springer International Publishing Switzerland

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Aoyu, H., Bin, H., Yong, C., Zhonghua, C. (2015). Applying Self Organization Maps to Cluster Analysis of Regional Industrial Structures. In: Kim, JH., Yang, W., Jo, J., Sincak, P., Myung, H. (eds) Robot Intelligence Technology and Applications 3. Advances in Intelligent Systems and Computing, vol 345. Springer, Cham. https://doi.org/10.1007/978-3-319-16841-8_20

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  • DOI: https://doi.org/10.1007/978-3-319-16841-8_20

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-16840-1

  • Online ISBN: 978-3-319-16841-8

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