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Adaptive Density Spatial Clustering Method Fusing Chameleon Swarm Algorithm
The density-based spatial clustering of application with noise (DBSCAN) algorithm is able to cluster arbitrarily structured datasets. However, the clustering result of this algorithm is exceptionally sensitive to the neighborhood radius (Eps) and noise points, and it is hard to obtain the best resul...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10217359/ https://www.ncbi.nlm.nih.gov/pubmed/37238536 http://dx.doi.org/10.3390/e25050782 |