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Application of clustering in regional economy

Published: 15 August 2005 Publication History

Abstract

The article mainly focuses on the application of clustering in regional economy through clustering analysis on regional economy of Beijing area by using AGNES algorithms of hierarchical cluster analysis in data mining. Further explanation to the operational process of hierarchical methods of clustering and algorithms methods is given through the course of clustering. Furthermore, we give a deep analysis on the result based on the clustering analysis. Finally, we point out the existing problems in agglomerative nesting as well as the innovative measures. In the meantime, the research orientation is put forward.

References

[1]
Jiawei Han and Micheline Kamber, Data Mining Concept and Techniques, Mechanical Industry Press, 2004.
[2]
Fengjing Shao, Zhongqing Yu, Data Mining Principle and Algorithm of Data Mining, Chinese Irrigation & Hydro Press, 2003
[3]
Shan Wang, Data Warehouse Technology and Online Analytical Process, Science Press, 1999

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cover image ACM Other conferences
ICEC '05: Proceedings of the 7th international conference on Electronic commerce
August 2005
957 pages
ISBN:1595931120
DOI:10.1145/1089551
  • Conference Chairs:
  • Qi Li,
  • Ting-Peng Liang
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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 15 August 2005

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Author Tags

  1. clustering
  2. differentiation
  3. distance
  4. hierarchical methods of clustering

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