DATA CLUSTERING ALGORITHMS

dc.contributor.author	Abdujabborov Madaminjon Vohidjon o’g’li
dc.contributor.author	Anvarbekova Hilola Numonovna
dc.date.accessioned	2025-12-28T20:18:30Z
dc.date.issued	2023-05-31
dc.description.abstract	This article provides information about clustering and clustering algorithms. The selection of an appropriate clustering algorithm depends on various factors, such as the nature of the data, the number of clusters required, the available computing resources, and the specific problem domain. Different algorithms may be more efficient for different types of datasets or clustering purposes.
dc.format	application/pdf
dc.identifier.uri	https://sjird.journalspark.org/index.php/sjird/article/view/684
dc.identifier.uri	https://asianeducationindex.com/handle/123456789/13539
dc.language.iso	eng
dc.publisher	Journals Park Publishing
dc.relation	https://sjird.journalspark.org/index.php/sjird/article/view/684/656
dc.source	Spectrum Journal of Innovation, Reforms and Development; Vol. 15 (2023); 254-258
dc.source	2751-1731
dc.subject	Clustering, Model, Method, Analysis, K-means, Algorithm, Hierarchical Clustering, DBSCAN, Cluster Visualization, Cluster Analysis, Agglomerative Clustering.
dc.title	DATA CLUSTERING ALGORITHMS
dc.type	info:eu-repo/semantics/article
dc.type	info:eu-repo/semantics/publishedVersion
dc.type	Peer-reviewed Article

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