Research of Electricity Customer Classifications Based on Kernel Clustering Algorithm under the Organic Combined Model

摘要：

　　The principle of kernel methods combined with data description were analyzed and the organic combined model of particle swarm algorithm(PSO) and genetic algorithm(GA) was put forward firstly,then the kernel clustering algorithm under the organic combined model of the GA and the PSO was put forward.Finally,according to the customers data of certain electric power company,this kernel clustering algorithm was applied to classify the electricity customers into three groups:the first group includes 3 customers,5 and 7 customers for the second group and the third group respectively.The result shows that the samples can be classified and the center of mass can be obtained using the data description based on kernel methods.But the clustering region is different when the σ of kernel method gets the different value.This makes the clustering process to be complex,also spends the longer time.While kernel methods clustering algorithm organically combined with the PSO and GA can get the same result in the shorter time and the calculation is simpler

关键词： data description kernel methods clustering algorithm particle swarm algorithm

作者: Shuxia Yang Hui Ding

作者单位: School of Economics and Management, North China Electric Power University,Beijing,102206,China Electricity Oversight Office of Shandong, Jinan, 250002,China

会议类型: 国际会议

会议名称: the Second International Conference on Frontiers of Manufacturing and Design Science(第二届制造与设计科学国际会议(ICFMD 2011))

会议地点: 台湾

会议语种:英文

页码: 4570-4574

在线出版日期: 2011-12-11（万方平台首次上网日期，不代表论文的发表时间）