An Outlier Detection Approach Based on Improved Self-Organizing Feature Map Clustering Algorithm
Local Outlier Factor (LOF) outlier detecting algorithm has good accuracy in detecting global and local outliers. However, the algorithm needs to traverse the entire dataset when calculating the local outlier factor of each data point, which adds extra time overhead and makes the algorithm execution...
Guardado en:
| Autores principales: | , , , , |
|---|---|
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
IEEE
2019-01-01
|
| Colección: | IEEE Access |
| Materias: | |
| Acceso en línea: | https://ieeexplore.ieee.org/document/8735734/ |
| Etiquetas: |
Sin Etiquetas, Sea el primero en etiquetar este registro!
|