The Binary DwarfMongoose Optimisation (BDMO) is proposed to explore and find minimal feature subsets possible at higher classification accuracy in high-dimensional datasets.
Akinola, Olatunji A., et al. “Binary Dwarf Mongoose Optimizer for Solving High-Dimensional Feature Selection Problems.” PLOS ONE, edited by Kapil Kumar Nagwanshi, vol. 17, no. 10, Public Library of Science (PLoS), Oct. 2022, p. e0274850, doi:10.1371/journal.pone.0274850.
APA
Akinola, O. A., Agushaka, J. O., & Ezugwu, A. E. (2022). Binary dwarf mongoose optimizer for solving high-dimensional feature selection problems. (K. K. Nagwanshi, Ed.)PLOS ONE, 17(10), e0274850. Public Library of Science (PLoS). Retrieved from https://doi.org/10.1371%2Fjournal.pone.0274850
BibTeX
@article{Akinola_2022,
doi = {10.1371/journal.pone.0274850},
url = {https://doi.org/10.1371%2Fjournal.pone.0274850},
year = 2022,
month = {oct},
publisher = {Public Library of Science ({PLoS})},
volume = {17},
number = {10},
pages = {e0274850},
author = {Olatunji A. Akinola and Jeffrey O. Agushaka and Absalom E. Ezugwu},
editor = {Kapil Kumar Nagwanshi},
title = {Binary dwarf mongoose optimizer for solving high-dimensional feature selection problems},
journal = {{PLOS} {ONE}}
}
