中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
An improved FCM algorithm with adaptive weights based on SA-PSO

文献类型:期刊论文

作者Wu, Ziheng1,2; Wu, Zhongcheng1; Zhang, Jun1
刊名NEURAL COMPUTING & APPLICATIONS
出版日期2017-10-01
卷号28期号:10页码:3113-3118
关键词Fuzzy C-means Clustering Algorithm Particle Swarm Optimization Simulated Annealing Adaptive Weight
DOI10.1007/s00521-016-2786-6
文献子类Article
英文摘要Fuzzy c-means clustering algorithm (FCM) often used in pattern recognition is an important method that has been successfully used in large amounts of practical applications. The FCM algorithm assumes that the significance of each data point is equal, which is obviously inappropriate from the viewpoint of adaptively adjusting the importance of each data point. In this paper, considering the different importance of each data point, a new clustering algorithm based on FCM is proposed, in which an adaptive weight vector W and an adaptive exponent p are introduced and the optimal values of the fuzziness parameter m and adaptive exponent p are determined by SA-PSO when the objective function reaches its minimum value. In this method, the particle swarm optimization (PSO) is integrated with simulated annealing (SA), which can improve the global search ability of PSO. Experimental results have demonstrated that the proposed algorithm can avoid local optima and significantly improve the clustering performance.
WOS研究方向Computer Science
语种英语
WOS记录号WOS:000411176800021
源URL[http://ir.hfcas.ac.cn:8080/handle/334002/33665]  
专题合肥物质科学研究院_中科院强磁场科学中心
作者单位1.Chinese Acad Sci, High Field Magnet Lab, Hefei, Anhui, Peoples R China
2.Univ Sci & Technol China, Hefei, Anhui, Peoples R China
推荐引用方式
GB/T 7714
Wu, Ziheng,Wu, Zhongcheng,Zhang, Jun. An improved FCM algorithm with adaptive weights based on SA-PSO[J]. NEURAL COMPUTING & APPLICATIONS,2017,28(10):3113-3118.
APA Wu, Ziheng,Wu, Zhongcheng,&Zhang, Jun.(2017).An improved FCM algorithm with adaptive weights based on SA-PSO.NEURAL COMPUTING & APPLICATIONS,28(10),3113-3118.
MLA Wu, Ziheng,et al."An improved FCM algorithm with adaptive weights based on SA-PSO".NEURAL COMPUTING & APPLICATIONS 28.10(2017):3113-3118.

入库方式: OAI收割

来源:合肥物质科学研究院

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