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A new approach for noise data detection based on cluster and information entropy
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
会议录名称2015 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER)
出版者IEEE
出版地Piscataway, NJ, USA
2015
页码1416-1419
收录类别EI ; CPCI(ISTP)
EI收录号20161402187910
WOS记录号WOS:000380502300257
产权排序1
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
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文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/17360
专题数字工厂研究室
作者单位Shenyang Institute of Automation, Chinese Academy of Sciences, Key Laboratory of Network Control System, Chinese Academy of Sciences, Shenyang, China
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Zhou XF,Zhang YL,Hao SX,et al. A new approach for noise data detection based on cluster and information entropy[C]. Piscataway, NJ, USA:IEEE,2015:1416-1419.
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