Multiple Filter-Based Rankers to Guide Hybrid Grasshopper Optimization Algorithm and Simulated Annealing for Feature Selection With High Dimensional Multi-Class Imbalanced Datasets

DNA microarray data analysis is infamous due to a massive number of features, imbalanced class distribution, and limited available samples. In this paper, we focus on high-dimensional multi-class imbalanced problems. The high dimensional and multi-class imbalanced problem has posed acute challenges...

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Autors principals:	Abdulrauf Garba Sharifai, Zurinahni Binti Zainol
Format:	Artigo
Idioma:	Inglês
Publicat:	IEEE 2021-01-01
Col·lecció:	IEEE Access
Matèries:	Grasshopper optimization algorithm simulated annealing tournament selection multiple filter-based rankers feature selection hybrid filter-wrapper
Accés en línia:	https://ieeexplore.ieee.org/document/9433565/
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