Comparison Of K-Means and K-Medoids Algorithm for Clustering Data UMKM in Pagar Alam City

The aim of this research is clustering MSME data in Pagar Alam City using the K-Means and K-Medoids algorithms. This research is motivated by the lack of further management of MSME data collection, which can hinder the development and improvement of Pagar Alam City MSMEs. Meanwhile, this data is con...

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Principais autores:	sendy ariska, Desi Puspita, Inda Anggraini
Format:	Artigo
Jezik:	Inglês
Izdano:	LPPM ISB Atma Luhur 2024-06-01
Serija:	Jurnal Sisfokom
Teme:	k-means, k-medoids, crisp-dm, davies-bouldin index.
Online dostop:	https://jurnal.atmaluhur.ac.id/index.php/sisfokom/article/view/2090
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