A Feature Selection Approach Based on Archimedes’ Optimization Algorithm for Optimal Data Classification

A Feature Selection Approach Based on Archimedes’ Optimization Algorithm for Optimal Data Classification

Feature selection is an active research area in data mining and machine learning, especially with the increase in the amount of numerical data. FS is a search strategy to find the best subset of features among a large number of subsets of features. Thus, FS is applied in most modern applications and...

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Bibliographic Details
Main Authors: Lahbib Khrissi, Nabil El Akkad, Hassan Satori, Khalid Satori
Format: Article
Language:English
Published: Universidad Internacional de La Rioja (UNIR) 2025-01-01
Series:International Journal of Interactive Multimedia and Artificial Intelligence
Subjects:
optimization
classification
feature selection
machine learning classifier
Online Access:https://www.ijimai.org/journal/bibcite/reference/3246
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https://www.ijimai.org/journal/bibcite/reference/3246

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