Improving the robustness of 'online agglomerative clustering method' based on kernel-induce distance measures
文献类型：期刊论文
| 作者 | Zhang, DQ; Chen, SC ; Tan, K
|
| 刊名 | NEURAL PROCESSING LETTERS
 |
| 出版日期 | 2005-02-01 |
| 卷号 | 21期号:1页码:45-51 |
| 关键词 | competitive learning kernel-induced measure nonstationary online clustering robustness |
| 英文摘要 | 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. |
| WOS标题词 | Science & Technology ; Technology ; Life Sciences & Biomedicine |
| 类目[WOS] | Computer Science, Artificial Intelligence ; Neurosciences |
| 研究领域[WOS] | Computer Science ; Neurosciences & Neurology |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000226976800003 |
| 公开日期 | 2015-12-24 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/9083]  |
| 专题 | 自动化研究所_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. |
入库方式： OAI收割
来源：自动化研究所
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