K-Means Centroid Optimization with Genetic Algorithm for Clustering Micro, Small, Medium Enterprises in Yogyakarta

K-Means is a widely used data clustering algorithm due to its simplicity and fast performance. However, the weakness of K-Means is in determining the cluster centroid randomly, which can result in suboptimal clustering results, especially since it tends to get stuck on local solutions. This research...

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Vydané v:	Juita : jurnal informatika (Online) s. 87 - 97
Hlavní autori:	Akbar, Muhammad Faris, Zahrotun, Lisna
Médium:	Journal Article
Jazyk:	English Indonesian
Vydavateľské údaje:	Universitas Muhammadiyah Purwokerto 04.08.2025
Predmet:	genetic algorithm k-means optimization
ISSN:	2086-9398, 2579-8901
On-line prístup:	Získať plný text
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