Similarity- based approach for outlier detection
Computer Vision and Pattern Recognition
2014-11-26 v1
Abstract
This paper presents a new approach for detecting outliers by introducing the notion of object's 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
Cite
@article{arxiv.1411.6850,
title = {Similarity- based approach for outlier detection},
author = {Amina Dik and Khalid Jebari and Abdelaziz Bouroumi and Aziz Ettouhami},
journal= {arXiv preprint arXiv:1411.6850},
year = {2014}
}
Comments
International Journal of Computer Science Issues 2014