An improved FCM algorithm with adaptive weights based on SA-PSO

doi:10.1007/s00521-016-2786-6

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	An improved FCM algorithm with adaptive weights based on SA-PSO
	Wu, Ziheng 1,2; Wu, Zhongcheng 1; Zhang, Jun 1
刊名	NEURAL COMPUTING & APPLICATIONS
	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
DOI	10.1007/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
内容类型	期刊论文
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.