文章基本信息

标题：Similarity- based approach for outlier detection
本地全文：下载
作者：Amina Dik ; Khalid Jebari ; Abdelaziz Bouroumi 等
期刊名称：International Journal of Computer Science Issues
印刷版ISSN：1694-0784
电子版ISSN：1694-0814
出版年度：2014
卷号：11
期号：5
出版社：IJCSI Press
摘要：This paper presents a new approach for detecting outliers by introducing the notion of objects proximity. The main idea is that normal point has similar characteristics with several neighbors. So the point in not an outlier if it has a high degree of proximity and its neighbors are several. The performance of this approach is illustrated through real datasets.
关键词：Similarity Measure; Outlier detection; clustering; Fuzzy C;means