An effective algorithm of outlier detection based on clustering

摘要：

This article put forward an effective algorithm to examine outlier detection based on clustering. Clustering and outlier detection methods are analyzed well by partitioning method. The results show that: it reduced time complexity of the outlier detection greatly, and with the increase of the data, this algorithm is still useful.

关键词： Data mining Clustering K-medios Outlier Outlier detection

作者: Qingsong Xia Changzheng Xing Na Li

作者单位: Department of Electronics and Information Engineering Liaoning Technical University Huludao, China

会议类型: 国际会议

会议名称: The 2011 International Workshop on Internet of Things Technology and Innovative Application Design(2011年国际物联网技术与创新应用设计研讨会IOT Workshop 2011)

会议地点: 北京

会议语种:英文

页码: 397-399

在线出版日期: 2011-08-24（万方平台首次上网日期，不代表论文的发表时间）