Unsupervised Outlier Detection for Mixed-Valued Dataset Based on the Adaptive k-Nearest Neighbor Global Network

Unsupervised Outlier Detection for Mixed-Valued Dataset Based on the Adaptive k-Nearest Neighbor Global Network

Outlier detection aims to reveal data patterns different from existing data. Benefit from its good robustness and interpretability, the outlier detection method for numerical dataset based on <inline-formula> <tex-math notation="LaTeX">$k$ </tex-math></inline-formula&g...

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Bibliographic Details
Main Authors: Yu Wang, Xuejing Cao, Yupeng Li
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Unsupervised outlier detection
k-nearest neighbor
mixed-valued dataset
network model
random walk process
Online Access:https://ieeexplore.ieee.org/document/9739702/

Internet

https://ieeexplore.ieee.org/document/9739702/

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