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...

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Detalles Bibliográficos
Autores principales: Ewees, Ahmed A., Al-qaness, Mohammed A. A., Abualigah, Laith, Algamal, Zakariya Yahya, Oliva, Diego, Yousri, Dalia, Elaziz, Mohamed Abd
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer London 2022
Materias:
Original Article
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

Internet

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

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