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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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| Publicado en: | Comput Intell Neurosci |
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| Autores principales: | , , , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
Hindawi Publishing Corporation
2016
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5153549/ https://ncbi.nlm.nih.gov/pubmed/28042291 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2016/2647389 |
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