A new method for noise data detection based on DBSCAN and SVDD

CORC > 沈阳自动化研究所 > 中国科学院沈阳自动化研究所 > 数字工厂研究室

	A new method for noise data detection based on DBSCAN and SVDD
	Hao SX(郝胜轩); Zhou XF(周晓锋); Song H(宋宏)
	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	SVDD DBSCAN noise data detection
页码	784-789
中文摘要	To improve the quality of real datasets by remove noise data, a new method for noise data detection based on Density-Based Spatial Clustering of Applications with Noise (DBSCAN) and support vector data description (SVDD) was proposed in this article. Firstly, classical DBSCAN algorithm was used to cluster the data and remove the outliers. Secondly, SVDD was used to train the grouped data according to the cluster result, and gained discriminant model for each group. All these discriminant models were used in whole dataset to classify the data. The point does not belong to any class is identified as noise data and be removed. Experimental studies are done using UCI dataset. It is shown that the method we proposed is considerably efficient.
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:000380502300149
内容类型	会议论文
源URL	[http://ir.sia.cn/handle/173321/17358]
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	Hao SX,Zhou XF,Song H. A new method for noise data detection based on DBSCAN and SVDD[C]. 见:2015 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER). Shenyang, China. June 8-12, 2015.