Abstract
Over the years, with the popularity of the Internet and the development of information technology, a lot of data have appeared social information beyond the range that individuals or systems can accept and use effectively, and the phenomenon of failure is more and more, data mining is particularly important, it is also a hot research direction in the information industry. Cluster analysis is a representative core technology of data mining. However, with the further study of clustering algorithm, it is found that the fuzzy classification problem is not suitable for the past classification methods. Based on the FCM fuzzy clustering algorithm, this paper uses six macroscopic methods As the basis of division, the economic index has obtained very good clustering results and has very strong practical reference value.
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References
Wang, Y.F., Yang, D.: Application of fuzzy cluster analysis in shandong regional economy. J. Shandong Agric. Manage. Cadre Coll. (2006)
Zhang, L.F.: Comparison and analysis of the performance of 3 clustering algorithms. J. Changjiang Univ. (2009)
Liu, H.X.: Fuzzy mathematics theory and its application. Beijing: science Press (2012)
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Liu, B., He, J. (2021). Cloud Computing Economic Development Model from the Perspective of Business Ecosystem. In: Xu, Z., Parizi, R.M., Loyola-González, O., Zhang, X. (eds) Cyber Security Intelligence and Analytics. CSIA 2021. Advances in Intelligent Systems and Computing, vol 1342. Springer, Cham. https://doi.org/10.1007/978-3-030-70042-3_93
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DOI: https://doi.org/10.1007/978-3-030-70042-3_93
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