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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| Published in: | Juita : jurnal informatika (Online) pp. 87 - 97 |
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| Main Authors: | , |
| Format: | Journal Article |
| Language: | English Indonesian |
| Published: |
Universitas Muhammadiyah Purwokerto
04.08.2025
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| Subjects: | |
| ISSN: | 2086-9398, 2579-8901 |
| Online Access: | Get full text |
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