Outlier detection using iterative adaptive mini-minimum spanning tree generation with applications on medical data

As an important technique for data pre-processing, outlier detection plays a crucial role in various real applications and has gained substantial attention, especially in medical fields. Despite the importance of outlier detection, many existing methods are vulnerable to the distribution of outliers...

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Bibliographic Details
Main Authors: Jia Li, Jiangwei Li, Chenxu Wang, Fons J. Verbeek, Tanja Schultz, Hui Liu
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-10-01
Series:Frontiers in Physiology
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fphys.2023.1233341/full