A spectral clustering algorithm based on particle swarm optimization

doi:10.1007/978-1-4614-7010-6-24

LZUFE-KMS

	A spectral clustering algorithm based on particle swarm optimization
	Wang, Feng
	2013
会议名称	2012 International Conference on Emerging Technologies for Information Systems, Computing, and Management, ICM 2012
会议录名称	Lecture Notes in Electrical Engineering
卷号	236 LNEE
页码	209-214
会议日期	2012-12-08 - 2012-12-09
会议地点	Hangzhou, China
出版者	Springer Verlag
摘要	The shortcoming of traditional spectral clustering algorithm is its dependence on initial value. This paper proposes a spectral clustering algorithm based on the particle swarm optimization, considering the characteristic of the good global and local optimization capability and the randomization of initial population. According to the example analysis, the spectral clustering algorithm based on the particle swarm optimization has overcome the shortcoming of excessive dependence on initial value of the traditional spectral clustering algorithm. The accuracy of the cluster is improved. © 2013 Springer Science+Business Media New York.
关键词	Information management Information systems Information use Particle swarm optimization (PSO) F measure Initial population Local optimizations Particle swarm optimization algorithm Spectral clustering algorithms
DOI	10.1007/978-1-4614-7010-6-24
收录类别	EI
语种	英语
EI入藏号	20132716465355
文献类型	会议论文
条目标识符	http://ir.lzufe.edu.cn/handle/39EH0E1M/9771
专题	兰州财经大学
作者单位	School of Information Engineering, Lanzhou University of Finance and Economics, Lanzhou, China
推荐引用方式 GB/T 7714	Wang, Feng. A spectral clustering algorithm based on particle swarm optimization[C]:Springer Verlag,2013:209-214.