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Clustering models for hospitals in Jakarta using fuzzy c-means and k-means
After facing the COVID-19 pandemic, national and local governments in Indonesia realized a gap in the distribution of health care and human health practitioners. This research proposes two unsupervised learning methods, K-Means and Fuzzy C-Means (FCM), for clustering a list of hospital data in Jakar...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
The Author(s). Published by Elsevier B.V.
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9829428/ https://www.ncbi.nlm.nih.gov/pubmed/36643178 http://dx.doi.org/10.1016/j.procs.2022.12.146 |