An Improved Clustering Method for Detection System of Public Security Events Based on Genetic Algorithm and Semisupervised Learning
Joint Authors
Guo, Zhiwei
Wang, Heng
Zhao, Zhenzhen
Wang, Zhenfeng
Xu, Guangyin
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-06-18
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
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 c-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.
American Psychological Association (APA)
Wang, Heng& Zhao, Zhenzhen& Guo, Zhiwei& Wang, Zhenfeng& Xu, Guangyin. 2017. An Improved Clustering Method for Detection System of Public Security Events Based on Genetic Algorithm and Semisupervised Learning. Complexity،Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1143487
Modern Language Association (MLA)
Wang, Heng…[et al.]. An Improved Clustering Method for Detection System of Public Security Events Based on Genetic Algorithm and Semisupervised Learning. Complexity No. 2017 (2017), pp.1-10.
https://search.emarefa.net/detail/BIM-1143487
American Medical Association (AMA)
Wang, Heng& Zhao, Zhenzhen& Guo, Zhiwei& Wang, Zhenfeng& Xu, Guangyin. An Improved Clustering Method for Detection System of Public Security Events Based on Genetic Algorithm and Semisupervised Learning. Complexity. 2017. Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1143487
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1143487