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A novel subspace outlier detection method by entropy-based clustering algorithm
Subspace outlier detection has emerged as a practical approach for outlier detection. Classical full space outlier detection methods become ineffective in high dimensional data due to the “curse of dimensionality”. Subspace outlier detection methods have great potential to overcome the problem. Howe...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10504263/ https://www.ncbi.nlm.nih.gov/pubmed/37714878 http://dx.doi.org/10.1038/s41598-023-42261-4 |