Studi Komparatif Algoritma K-Means dan K-Medoids untuk Segmentasi Informasi Kesehatan
In analyzing medical data to support clinical decisions, segmentation of health information plays a crucial role. This study presents a comparative analysis of K-Means and K-Medoids algorithms in clustering Medical Examination data. This evaluation is conducted using two main internal approaches, na...
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| Asıl Yazarlar: | , , , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
LPPM Universitas Bina Sarana Informatika
2025-07-01
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| Seri Bilgileri: | Computer Science |
| Konular: | |
| Online Erişim: | https://jurnal.bsi.ac.id/index.php/co-science/article/view/9207 |
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