An Adaptive Feature-Based Quantum Genetic Algorithm for Dimension Reduction with Applications in Outlier Detection

Dimensionality reduction is essential in machine learning, reducing dataset dimensions while enhancing classification performance. Feature Selection, a key subset of dimensionality reduction, identifies the most relevant features. Genetic Algorithms (GA) are widely used for feature selection due to...

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Detalles Bibliográficos

Principais autores:	Tin H. Pham, Bijan Raahemi
Formato:	Artigo
Idioma:	Inglês
Publicado:	MDPI AG 2025-03-01
Series:	Algorithms
Assuntos:	genetic algorithms feature selection outlier detection adaptive quantum rotation
Acceso en liña:	https://www.mdpi.com/1999-4893/18/3/154
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