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...
I tiakina i:
| Ngā kaituhi matua: | , , , |
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| Hōputu: | Artigo |
| Reo: | Inglês |
| I whakaputaina: |
Ferdowsi University of Mashhad
2023-12-01
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| Rangatū: | Iranian Journal of Numerical Analysis and Optimization |
| Ngā marau: | |
| Urunga tuihono: | https://ijnao.um.ac.ir/article_44117_c35d5a744ce9c31c04abbea89eda4c41.pdf |
| Ngā Tūtohu: |
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
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