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Enhanced feature selection technique using slime mould algorithm: a case study on chemical data
Feature selection techniques are considered one of the most important preprocessing steps, which has the most significant influence on the performance of data analysis and decision making. These FS techniques aim to achieve several objectives (such as reducing classification error and minimizing the...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer London
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9547998/ https://www.ncbi.nlm.nih.gov/pubmed/36245794 http://dx.doi.org/10.1007/s00521-022-07852-8 |