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An Improved Clustering Method for Detection System of Public Security Events Based on Genetic Algorithm and Semisupervised Learning

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  • Heng Wang
  • Zhenzhen Zhao
  • Zhiwei Guo
  • Zhenfeng Wang
  • Guangyin Xu

Abstract

The occurrence of series of events is always associated with the news report, social network, and Internet media. In this paper, a detecting system for public security events is designed, which carries out clustering operation to cluster relevant text data, in order to benefit relevant departments by evaluation and handling. Firstly, texts are mapped into three-dimensional space using the vector space model. Then, to overcome the shortcoming of the traditional clustering algorithm, an improved fuzzy -means (FCM) algorithm based on adaptive genetic algorithm and semisupervised learning is proposed. In the proposed algorithm, adaptive genetic algorithm is employed to select optimal initial clustering centers. Meanwhile, motivated by semisupervised learning, guiding effect of prior knowledge is used to accelerate iterative process. Finally, simulation experiments are conducted from two aspects of qualitative analysis and quantitative analysis, which demonstrate that the proposed algorithm performs excellently in improving clustering centers, clustering results, and consuming time.

Suggested Citation

  • Heng Wang & Zhenzhen Zhao & Zhiwei Guo & Zhenfeng Wang & Guangyin Xu, 2017. "An Improved Clustering Method for Detection System of Public Security Events Based on Genetic Algorithm and Semisupervised Learning," Complexity, Hindawi, vol. 2017, pages 1-10, June.
  • Handle: RePEc:hin:complx:8130961
    DOI: 10.1155/2017/8130961
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    References listed on IDEAS

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    1. Yuepeng Wang & Yuexuan Wang & Dongxiao Yu & Jiguo Yu & Francis C. M. Lau, 2016. "Information exchange with collision detection on multiple channels," Journal of Combinatorial Optimization, Springer, vol. 31(1), pages 118-135, January.
    2. J.H. Ruan & X.P. Wang & F.T.S. Chan & Y. Shi, 2016. "Optimizing the intermodal transportation of emergency medical supplies using balanced fuzzy clustering," International Journal of Production Research, Taylor & Francis Journals, vol. 54(14), pages 4368-4386, July.
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    Cited by:

    1. Franck Marle & Hadi Jaber & Catherine Pointurier, 2019. "Organizing Project Actors for Collective Decision-Making about Interdependent Risks," Complexity, Hindawi, vol. 2019, pages 1-18, March.

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