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题名: A new approach for noise data detection based on cluster and information entropy
作者: Zhou XF(周晓锋); Zhang YL(章永来); Hao SX(郝胜轩); Li S(李帅)
作者部门: 数字工厂研究室
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
会议录: 2015 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER)
会议录出版者: IEEE
会议录出版地: Piscataway, NJ, USA
出版日期: 2015
页码: 1416-1419
收录类别: EI ; CPCI(ISTP)
ISSN号: 2379-7711
ISBN号: 978-1-4799-8730-6
关键词: fast search and find of density peaks ; information entropy ; noise data detection
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.
语种: 英语
产权排序: 1
WOS记录号: WOS:000380502300257
Citation statistics:
内容类型: 会议论文
URI标识: http://ir.sia.cn/handle/173321/17360
Appears in Collections:数字工厂研究室_会议论文

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Recommended Citation:
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.
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