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
Source PublicationNEURAL PROCESSING LETTERS
2005-02-01
Volume21Issue:1Pages:45-51
SubtypeArticle
AbstractRecently, 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.
KeywordCompetitive Learning Kernel-induced Measure Nonstationary Online Clustering Robustness
WOS HeadingsScience & Technology ; Technology ; Life Sciences & Biomedicine
Indexed BySCI
Language英语
WOS Research AreaComputer Science ; Neurosciences & Neurology
WOS SubjectComputer Science, Artificial Intelligence ; Neurosciences
WOS IDWOS:000226976800003
Citation statistics
Cited Times:15[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/9083
Collection09年以前成果
Affiliation1.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
Recommended Citation
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.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Zhang, DQ]'s Articles
[Chen, SC]'s Articles
[Tan, K]'s Articles
Baidu academic
Similar articles in Baidu academic
[Zhang, DQ]'s Articles
[Chen, SC]'s Articles
[Tan, K]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Zhang, DQ]'s Articles
[Chen, SC]'s Articles
[Tan, K]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.