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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...
Autores principales: | Li, Jia, Li, Jiangwei, Wang, Chenxu, Verbeek, Fons J., Schultz, Tanja, Liu, Hui |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10613083/ https://www.ncbi.nlm.nih.gov/pubmed/37900945 http://dx.doi.org/10.3389/fphys.2023.1233341 |
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