Outlier detection using local density and global structure

Huawen Liu, Shichao Zhang, Zongda Wu, Xuelong Li

Abstract: Highlights•An outlier detection method that integrates both local densities and global structures of data.•It exploits potential energy, inherently consistent to distribution, to represent data densities.•The rarity degree of data is further derived from global graph structures of neighbors.