Kernel-Reliability-based K-Means (KRKM) clustering algorithm and image processing
文献类型：期刊论文
| 作者 | Hua CS(华春生) ; Qi JT(齐俊桐); Han JD(韩建达); Wu, Haiyuan
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| 刊名 | IEICE Transactions on Information and Systems
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| 出版日期 | 2014 |
| 卷号 | E97-D期号:9页码:2423-2433 |
| 关键词 | Classification Image processing Reliability |
| ISSN号 | 0916-8532 |
| 产权排序 | 1 |
| 通讯作者 | 齐俊桐 |
| 中文摘要 | In this paper, we introduced a novel Kernel-Reliabilitybased K-Means (KRKM) clustering algorithm for categorizing an unknown dataset under noisy condition. Compared with the conventional clustering algorithms, the proposed KRKM algorithm will measure both the reliability and the similarity for classifying data into its neighbor clusters by the dynamic kernel functions, where the noisy data will be rejected by being given low reliability. The reliability for classifying data is measured by a dynamic kernel function whose window size will be determined by the triangular relationship from this data to its two nearest clusters. The similarity from a data item to its neighbor clusters is measured by another adaptive kernel function which takes into account not only the similarity from data to clusters but also that between its two nearest clusters. The main contribution of this work lies in introducing the dynamic kernel functions to evaluate both the reliability and similarity for clustering, which makes the proposed algorithm more efficient in dealing with very strong noisy data. Through various experiments, the efficiency and effectiveness of proposed algorithm have been confirmed. Copyright © 2014 The Institute of Electronics, Information and Communication Engineers. |
| WOS标题词 | Science & Technology ; Technology |
| 类目[WOS] | Computer Science, Information Systems ; Computer Science, Software Engineering |
| 研究领域[WOS] | Computer Science |
| 收录类别 | SCI ; EI |
| 语种 | 英语 |
| WOS记录号 | WOS:000342784600023 |
| 公开日期 | 2014-11-03 |
| 源URL | [http://ir.sia.cn/handle/173321/15257]  |
| 专题 | 沈阳自动化研究所_机器人学研究室 |
| 推荐引用方式 GB/T 7714 | Hua CS,Qi JT,Han JD,et al. Kernel-Reliability-based K-Means (KRKM) clustering algorithm and image processing[J]. IEICE Transactions on Information and Systems,2014,E97-D(9):2423-2433. |
| APA | Hua CS,Qi JT,Han JD,&Wu, Haiyuan.(2014).Kernel-Reliability-based K-Means (KRKM) clustering algorithm and image processing.IEICE Transactions on Information and Systems,E97-D(9),2423-2433. |
| MLA | Hua CS,et al."Kernel-Reliability-based K-Means (KRKM) clustering algorithm and image processing".IEICE Transactions on Information and Systems E97-D.9(2014):2423-2433. |
入库方式： OAI收割
来源：沈阳自动化研究所
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