中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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); Zhang YL(章永来); Hao SX(郝胜轩); Li S(李帅)
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)
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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