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Improving the robustness of 'online agglomerative clustering method' based on kernel-induce distance measures
Zhang, DQ; Chen, SC; Tan, K
2005-02-01
发表期刊NEURAL PROCESSING LETTERS
卷号21期号:1页码:45-51
文章类型Article
摘要Recently, an online agglomerative clustering method called AddC (I. D. Guedalia et al. Neural Comput. 11 (1999), 521-540) was proposed for nonstationary data clustering. Although AddC possesses many good attributes, a vital problem of that method is its sensitivity to noises, which limits its use in real-word applications. In this paper, based on kernel-induced distance measures, a robust online clustering (ROC) algorithm is proposed to remedy the problem of AddC. Experimental results on artificial and benchmark data sets show that ROC has better clustering performances than AddC, while still inheriting advantages such as clustering data in a single pass and without knowing the exact number of clusters beforehand.
关键词Competitive Learning Kernel-induced Measure Nonstationary Online Clustering Robustness
WOS标题词Science & Technology ; Technology ; Life Sciences & Biomedicine
收录类别SCI
语种英语
WOS研究方向Computer Science ; Neurosciences & Neurology
WOS类目Computer Science, Artificial Intelligence ; Neurosciences
WOS记录号WOS:000226976800003
引用统计
被引频次:15[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/9083
专题09年以前成果
作者单位1.Chinese Acad Sci, Natl Lab Pattern Recognit, Inst Automat, Beijing 100080, Peoples R China
2.Nanjing Univ Aeronaut & Astronaut, Dept Comp Sci & Engn, Nanjing 210016, Peoples R China
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Zhang, DQ,Chen, SC,Tan, K. Improving the robustness of 'online agglomerative clustering method' based on kernel-induce distance measures[J]. NEURAL PROCESSING LETTERS,2005,21(1):45-51.
APA Zhang, DQ,Chen, SC,&Tan, K.(2005).Improving the robustness of 'online agglomerative clustering method' based on kernel-induce distance measures.NEURAL PROCESSING LETTERS,21(1),45-51.
MLA Zhang, DQ,et al."Improving the robustness of 'online agglomerative clustering method' based on kernel-induce distance measures".NEURAL PROCESSING LETTERS 21.1(2005):45-51.
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