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...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhou, Wei, Wang, Limin, Han, Xuming, Wang, Yizhang, Zhang, Yufei, Jia, Zhiyao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10217359/
https://www.ncbi.nlm.nih.gov/pubmed/37238536
http://dx.doi.org/10.3390/e25050782

Ejemplares similares