A new approach for noise data detection based on cluster and information entropy
文献类型:会议论文
作者 | Zhou XF(周晓锋)![]() ![]() ![]() ![]() |
出版日期 | 2015 |
会议名称 | 2015 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER) |
会议日期 | June 8-12, 2015 |
会议地点 | Shenyang, China |
关键词 | fast search and find of density peaks information entropy noise data detection |
页码 | 1416-1419 |
中文摘要 | To detect the noise data in the datasets and remove them, a new approach for noise data detection based on fast search and find density peaks (FSFDP) and information entropy (IE) was proposed in this article. In the proposed method, FSFDP was used to cluster the original datasets and remove the outliers. Then construct the rectangular panes and mesh generation for each class according to the clustering results. Calculate the IE of each class after projecting all samples to the mesh, and remove the samples which have the lower local density in the class. If the IE value change obviously after the sample was removed from the class, the sample was marked as a noise. Finally, the result of the experiment shows that the presented approach is effective and accurately. |
收录类别 | EI ; CPCI(ISTP) |
产权排序 | 1 |
会议录 | 2015 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER)
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会议录出版者 | IEEE |
会议录出版地 | Piscataway, NJ, USA |
语种 | 英语 |
ISSN号 | 2379-7711 |
ISBN号 | 978-1-4799-8730-6 |
WOS记录号 | WOS:000380502300257 |
源URL | [http://ir.sia.cn/handle/173321/17360] ![]() |
专题 | 沈阳自动化研究所_数字工厂研究室 |
推荐引用方式 GB/T 7714 | Zhou XF,Zhang YL,Hao SX,et al. A new approach for noise data detection based on cluster and information entropy[C]. 见:2015 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER). Shenyang, China. June 8-12, 2015. |
入库方式: OAI收割
来源:沈阳自动化研究所
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