Clustering based feature selection and outlier analysis

This paper presents the results of an experimental study of some common intrusion detection techniques. In particular we compared the three main approaches to intrusion detection: FCC, Y-Means, and UAD. The aim of this study is to compare and find feasible clustering algorithms to achieve good performance with high efficiency while dealing with the intrusions.