An Efficient Density-Based Local Outlier Detection Approach for Scattered Data

An Efficient Density-Based Local Outlier Detection Approach for Scattered Data

After the local outlier factor was first proposed, there is a large family of local outlier detection approaches derived from it. Since the existing approaches only focus on the extent of overall separation between an object and its neighbors, and ignore the degree of dispersion between them, the pr...

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Bibliographic Details
Main Authors: Shubin Su, Limin Xiao, Li Ruan, Fei Gu, Shupan Li, Zhaokai Wang, Rongbin Xu
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Outlier detection
local outlier factor
neighborhood variance
rough clustering
scattered dataset
Online Access:https://ieeexplore.ieee.org/document/8572736/

Internet

https://ieeexplore.ieee.org/document/8572736/

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