Enhancement of K-means clustering in big data based on equilibrium optimizer algorithm

Data mining’s primary clustering method has several uses, including gene analysis. A set of unlabeled data is divided into clusters using data features in a clustering study, which is an unsupervised learning problem. Data in a cluster are more comparable to one another than to those in other groups...

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Bibliographic Details

Published in:	Journal of intelligent systems Vol. 32; no. 1; pp. 99 - 106
Main Authors:	Al-kababchee, Sarah Ghanim Mahmood, Algamal, Zakariya Yahya, Qasim, Omar Saber
Format:	Journal Article
Language:	English
Published:	Berlin De Gruyter 16-02-2023 Walter de Gruyter GmbH
Subjects:	Algorithms Big Data Cluster analysis Clustering Data mining equilibrium optimizer algorithm feature selection k-means Machine learning means Optimization penalized method swarms Unsupervised learning Vector quantization
Online Access:	Get full text
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