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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Bibliographic Details

Published in:	Jurnal Diferensial Vol. 6; no. 2; pp. 170 - 178
Main Authors:	Gani, Friansyah, Panigoro, Hasan S., Mahmud, Sri Lestari, Rahmi, Emli, Nasib, Salmun K., Nashar, La Ode
Format:	Journal Article
Language:	English
Published:	Universitas Nusa Cendana 01.11.2024
Subjects:	betacv clustering davies-bouldin dbscan knn silhouette
ISSN:	2775-9644, 2775-9644
Online Access:	Get full text
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