| Kernel method-based fuzzy clustering algorithm |
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| 引用本文： | Wu Zhongdong 1,Gao Xinbo 1,Xie Weixin 2 & Yu Jianping 21. School of Electronic Engineering,Xidian University,Xi''''an 710071,P. R. China,2. College of Information Engineering,Shenzhen University,Shenzhen 518060,P. R. China. Kernel method-based fuzzy clustering algorithm[J]. 系统工程与电子技术(英文版), 2005, 16(1) |
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| 作者姓名： | Wu Zhongdong 1 Gao Xinbo 1 Xie Weixin 2 & Yu Jianping 21. School of Electronic Engineering Xidian University Xi''''an 710071 P. R. China 2. College of Information Engineering Shenzhen University Shenzhen 518060 P. R. China |
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| 作者单位： | Wu Zhongdong 1，Gao Xinbo 1，Xie Weixin 2 & Yu Jianping 21. School of Electronic Engineering，Xidian University，Xi'an 710071，P. R. China;2. College of Information Engineering，Shenzhen University，Shenzhen 518060，P. R. China |
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| 基金项目： | ThisprojectwassupportedbytheNationalNaturalScienceFoundationofChina(60202004). |
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| 摘 要： | 1.INTRODUCTION Clusteranalysisdividesdataintoclustersinorderto facilitateunderstandingortofindstructurehiddenin dataset.Clusteringalgorithmspartitionasetofdata objectsintoclustersorclasses,wheresimilardataob jectsareassignedtothesameclusterwhereasdissimi lardataobjectsshouldbelongtodifferentclusters. SinceZadeh(1965)presentedthefuzzysettheory, thefuzzymethodisfirstlyintroducedinclustering problems,whichiscalledthefuzzyclusteringanaly sis.Fuzzyclusteringisawidelyappliedmethodfor acquiri…
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Kernel method-based fuzzy clustering algorithm |
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| Wu Zhongdong,GAO Xinbo,Xie Weixin,YU Jianping. Kernel method-based fuzzy clustering algorithm[J]. Journal of Systems Engineering and Electronics, 2005, 16(1) |
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| Authors: | Wu Zhongdong GAO Xinbo Xie Weixin YU Jianping |
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| Affiliation: | 1. School of Electronic Engineering, Xidian University, Xi'an 710071, P. R. China
2. College of Information Engineering, Shenzhen University, Shenzhen 518060, P. R. China |
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| Abstract: | The fuzzy C-means clustering algorithm(FCM) to the fuzzy kernel C-means clustering algorithm(FKCM) to effectively perform cluster analysis on the diversiform structures are extended, such as non-hyperspherical data, data with noise, data with mixture of heterogeneous cluster prototypes, asymmetric data, etc. Based on the Mercer kernel, FKCM clustering algorithm is derived from FCM algorithm united with kernel method. The results of experiments with the synthetic and real data show that the FKCM clustering algorithm is universality and can effectively unsupervised analyze datasets with variform structures in contrast to FCM algorithm. It is can be imagined that kernel-based clustering algorithm is one of important research direction of fuzzy clustering analysis. |
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| Keywords: | fuzzy clustering analysis kernel method fuzzy C-means clustering. |
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