Improving the performance of the FCM algorithm in clustering using the DBSCAN algorithm
The fuzzy-C-means (FCM) algorithm is one of the most famous fuzzy clus-tering algorithms, but it gets stuck in local optima. In addition, this algo-rithm requires the number of clusters. Also, the density-based spatial of the application with noise (DBSCAN) algorithm, which is a density-based clus-t...
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| Hlavní autoři: | , , , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Ferdowsi University of Mashhad
2023-12-01
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| Edice: | Iranian Journal of Numerical Analysis and Optimization |
| Témata: | |
| On-line přístup: | https://ijnao.um.ac.ir/article_44117_c35d5a744ce9c31c04abbea89eda4c41.pdf |
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