A Self-Adaptive Fuzzy c-Means Algorithm for Determining the Optimal Number of Clusters

For the shortcoming of fuzzy c-means algorithm (FCM) needing to know the number of clusters in advance, this paper proposed a new self-adaptive method to determine the optimal number of clusters. Firstly, a density-based algorithm was put forward. The algorithm, according to the characteristics of t...

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Detalles Bibliográficos
Autores principales: Ren, Min, Liu, Peiyu, Wang, Zhihao, Yi, Jing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2016
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5153549/
https://www.ncbi.nlm.nih.gov/pubmed/28042291
http://dx.doi.org/10.1155/2016/2647389

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5153549/
https://www.ncbi.nlm.nih.gov/pubmed/28042291
http://dx.doi.org/10.1155/2016/2647389

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