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A Novel Method Based on Nonlinear Binary Grasshopper Whale Optimization Algorithm for Feature Selection
Feature Selection (FS) is considered as an important preprocessing step in data mining and is used to remove redundant or unrelated features from high-dimensional data. Most optimization algorithms for FS problems are not balanced in search. A hybrid algorithm called nonlinear binary grasshopper wha...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Nature Singapore
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9449924/ https://www.ncbi.nlm.nih.gov/pubmed/36089930 http://dx.doi.org/10.1007/s42235-022-00253-6 |