Development of a Java Library with Bacterial Foraging Optimization for Feature Selection of High-Dimensional Data

High-dimensional data allows researchers to conduct comprehensive analyses. However, such data often exhibits characteristics like small sample sizes, class imbalance, and high complexity, posing challenges for classification. One approach employed to tackle high-dimensional data is feature selectio...

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Hauptverfasser:	Tessy Badriyah, Iwan Syarif, Fitriani Rohmah Hardiyanti
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Society of Visual Informatics 2024-03-01
Schriftenreihe:	JOIV: International Journal on Informatics Visualization
Schlagworte:	feature selection high dimensional data bacterial foraging optimization evolutionary algorithm
Online-Zugang:	https://joiv.org/index.php/joiv/article/view/2149
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