COMPARISON OF DATA CLUSTERING ALGORITHMS
DOI:
https://doi.org/10.30888/2663-5712.2024-23-00-038Keywords:
data clustering, cluster analysis, K-Means, Hierarchical Agglomerative Clustering (HAC), Density-Based Spatial Clustering of Applications with Noise (DBSCAN), Expectation–Maximization clustering using Gaussian Mixture Models (GMM).Abstract
The article compares the comparison of data clustering algorithms: K-Means, Hierarchical Agglomerative Clustering (HAC), Density-Based Spatial Clustering of Applications with Noise (DBSCAN), Expectation–Maximization clustering using Gaussian Mixture ModelMetrics
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References
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Doroshenko I.V., Knihnitska T.V., Deretorska T.I. Comparison of machine learning algorithms for predicting mortality from Covid-19 virus // Sworld Jornal Issue No11, Part 2 January 2022 – P. 72-77 (https://www.sworldjournal.com/index.php/swj/article/view/swj11-02-045).
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Published
2024-01-30
How to Cite
Дорошенко, І., Кнігніцька, Т., & Крештанович, М. (2024). COMPARISON OF DATA CLUSTERING ALGORITHMS. SWorldJournal, 1(23-01), 116–127. https://doi.org/10.30888/2663-5712.2024-23-00-038
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