Density-Distance Outlier Detection Algorithm Based on Natural Neighborhood
Outlier detection is of great significance in the domain of data mining. Its task is to find those target points that are not identical to most of the object generation mechanisms. The existing algorithms are mainly divided into density-based algorithms and distance-based algorithms. However, both a...
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| Asıl Yazarlar: | , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
MDPI AG
2023-04-01
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| Seri Bilgileri: | Axioms |
| Konular: | |
| Online Erişim: | https://www.mdpi.com/2075-1680/12/5/425 |
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