Improving the robustness of 'online agglomerative clustering method' based on kernel-induce distance measures

CASIA OpenIR > 09年以前成果

	Improving the robustness of 'online agglomerative clustering method' based on kernel-induce distance measures
	Zhang, DQ ; Chen, SC; Tan, K
发表期刊	NEURAL PROCESSING LETTERS
	2005-02-01
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：16[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
推荐引用方式 GB/T 7714	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.