A new method for noise data detection based on DBSCAN and SVDD
文献类型：会议论文
| 作者 | Hao SX(郝胜轩) ; Zhou XF(周晓锋); Song H(宋宏)
|
| 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 | 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 |
| 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. |
入库方式： OAI收割
来源：沈阳自动化研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。