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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...
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| Publicado no: | SN Comput Sci |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Springer Singapore
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8147911/ https://ncbi.nlm.nih.gov/pubmed/34056623 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s42979-021-00687-5 |
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