Implementation of K-Nearest Neighbor Algorithm on Density-Based Spatial Clustering Application with Noise Method on Stunting Clustering

This paper studies the implementation of the K-Nearest Neighbor (KNN) algorithm on Density-Based Spatial Clustering Application with Noise (DBSCAN) method on stunting Clustering in the eastern region of Indonesia in 2022. The DBSCAN method is used because it is more efficient to perform the Clusteri...

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Vydané v:	Jurnal Diferensial Ročník 6; číslo 2; s. 170 - 178
Hlavní autori:	Gani, Friansyah, Panigoro, Hasan S., Mahmud, Sri Lestari, Rahmi, Emli, Nasib, Salmun K., Nashar, La Ode
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Universitas Nusa Cendana 01.11.2024
Predmet:	betacv clustering davies-bouldin dbscan knn silhouette
ISSN:	2775-9644, 2775-9644
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