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Hybrid Binary Dragonfly Algorithm with Simulated Annealing for Feature Selection
There are various fields are affected by the growth of data dimensionality. The major problems which are resulted from high dimensionality of data including high memory requirements, high computational cost, and low machine learning classifier performance. Therefore, proper selection of relevant fea...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Singapore
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8147911/ https://www.ncbi.nlm.nih.gov/pubmed/34056623 http://dx.doi.org/10.1007/s42979-021-00687-5 |