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An Effective Clustering Algorithm Using Adaptive Neighborhood and Border Peeling Method
Traditional clustering methods often cannot avoid the problem of selecting neighborhood parameters and the number of clusters, and the optimal selection of these parameters varies among different shapes of data, which requires prior knowledge. To address the above parameter selection problem, we pro...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Hindawi
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8598334/ https://www.ncbi.nlm.nih.gov/pubmed/34804147 http://dx.doi.org/10.1155/2021/6785580 |