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...

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Detalles Bibliográficos
Autores principales: Feng, Ji, Zhang, Bokai, Ran, Ruisheng, Zhang, Wanli, Yang, Degang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Research Article
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

Internet

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

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