INTELLIGENT CLUSTERING TECHNIQUE BASED ON GENETIC ALGORITHM

abdulrahman, shaymaa and Roushdy, Mohamed and Salem, Abdel-Badeeh (2021) INTELLIGENT CLUSTERING TECHNIQUE BASED ON GENETIC ALGORITHM. International Journal of Intelligent Computing and Information Sciences, 21 (1). pp. 19-32. ISSN 2535-1710

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Official URL: https://doi.org/10.21608/ijicis.2021.148607

Abstract

This paper focuses on the problems of data clustering where the similarity between different objects is estimated with the use of the Euclidean distance metric. Also, K-Means is used to remove data noise, genetic algorithms are used for finding the optimal set of features and the Support Vector, Machine (SVM) is used as a classifier. The experimental results prove that the proposed model has attained an accuracy of 94.79 % when using three datasets taken from the UCI repository.

Item Type:	Article
Subjects:	Archive Science > Computer Science
Depositing User:	Managing Editor
Date Deposited:	27 Jun 2023 06:52
Last Modified:	08 Jun 2024 09:07
URI:	http://editor.pacificarchive.com/id/eprint/1273

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