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A hybrid feature selection model based on improved squirrel search algorithm and rank aggregation using fuzzy techniques for biomedical data classification
Feature selection has gained its importance due to the voluminous nature of the data. Owing to the computational complexity of wrapper approaches, the poor performance of filtering techniques, and the classifier dependency of embedded approaches, hybrid approaches are more commonly used in feature s...
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| Udgivet i: | Netw Model Anal Health Inform Bioinform |
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| Main Authors: | , |
| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
Springer Vienna
2021
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| Fag: | |
| Online adgang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8170065/ https://ncbi.nlm.nih.gov/pubmed/34094808 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s13721-021-00313-7 |
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