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Provides a novel framework to able to automatically develop and deploy an accurate Multiple Classifier System based on the feature-clustering distribution achieved from an input dataset. 'D2MCS' was developed focused on four main aspects: (i) the ability to determine an effective method to evaluate the independence of features, (ii) the identification of the optimal number of feature clusters, (iii) the training and tuning of ML models and (iv) the execution of voting schemes to combine the outputs of each classifier comprising the Multiple Classifier System.
| Version: | 1.0.1 |
| Depends: | R (≥ 4.2) |
| Imports: | caret, devtools, dplyr, FSelector, ggplot2, ggrepel, gridExtra, infotheo, mccr, mltools, ModelMetrics, questionr, recipes, R6, tictoc, varhandle |
| Suggests: | grDevices, knitr, rmarkdown, testthat (≥ 3.0.2) |
| Published: | 2022-08-23 |
| DOI: | 10.32614/CRAN.package.D2MCS |
| Author: | David Ruano-Ordás [aut, ctb], Miguel Ferreiro-Díaz [aut, cre], José Ramón Méndez [aut, ctb], University of Vigo [cph] |
| Maintainer: | Miguel Ferreiro-Díaz <miguel.ferreiro.diaz at gmail.com> |
| BugReports: | https://github.com/drordas/D2MCS/issues |
| License: | GPL-3 |
| URL: | https://github.com/drordas/D2MCS |
| NeedsCompilation: | no |
| Citation: | D2MCS citation info |
| Materials: | NEWS |
| CRAN checks: | D2MCS results |
| Reference manual: | D2MCS.pdf |
| Vignettes: |
A Brief Introduction to D2MCS |
| Package source: | D2MCS_1.0.1.tar.gz |
| Windows binaries: | r-devel: D2MCS_1.0.1.zip, r-release: D2MCS_1.0.1.zip, r-oldrel: D2MCS_1.0.1.zip |
| macOS binaries: | r-release (arm64): D2MCS_1.0.1.tgz, r-oldrel (arm64): D2MCS_1.0.1.tgz, r-release (x86_64): D2MCS_1.0.1.tgz, r-oldrel (x86_64): D2MCS_1.0.1.tgz |
| Old sources: | D2MCS archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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