The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
Implementation of evolutionary fuzzy systems for the data mining task called "subgroup discovery". In particular, the algorithms presented in this package are: M. J. del Jesus, P. Gonzalez, F. Herrera, M. Mesonero (2007) <doi:10.1109/TFUZZ.2006.890662> M. J. del Jesus, P. Gonzalez, F. Herrera (2007) <doi:10.1109/MCDM.2007.369416> C. J. Carmona, P. Gonzalez, M. J. del Jesus, F. Herrera (2010) <doi:10.1109/TFUZZ.2010.2060200> C. J. Carmona, V. Ruiz-Rodado, M. J. del Jesus, A. Weber, M. Grootveld, P. González, D. Elizondo (2015) <doi:10.1016/j.ins.2014.11.030> It also provide a Shiny App to ease the analysis. The algorithms work with data sets provided in KEEL, ARFF and CSV format and also with data.frame objects.
| Version: | 0.7.22 |
| Depends: | R (≥ 3.0.0) |
| Imports: | foreign, methods, parallel, stats, utils, ggplot2, shiny (≥ 0.11) |
| Suggests: | knitr, rmarkdown |
| Published: | 2021-04-30 |
| DOI: | 10.32614/CRAN.package.SDEFSR |
| Author: | Angel M. Garcia [aut, cre], Pedro Gonzalez [aut, cph], Cristobal J. Carmona [aut, cph], Francisco Charte [ctb], Maria J. del Jesus [aut, cph] |
| Maintainer: | Angel M. Garcia <agvico at ujaen.es> |
| License: | LGPL (≥ 3) |
| URL: | https://github.com/SIMIDAT/SDEFSR |
| NeedsCompilation: | no |
| Materials: | NEWS |
| CRAN checks: | SDEFSR results |
| Reference manual: | SDEFSR.pdf |
| Vignettes: |
Subgroup Discovery with Evolutionary Fuzzy Systems in R: the SDEFSR Package |
| Package source: | SDEFSR_0.7.22.tar.gz |
| Windows binaries: | r-devel: SDEFSR_0.7.22.zip, r-release: SDEFSR_0.7.22.zip, r-oldrel: SDEFSR_0.7.22.zip |
| macOS binaries: | r-release (arm64): SDEFSR_0.7.22.tgz, r-oldrel (arm64): SDEFSR_0.7.22.tgz, r-release (x86_64): SDEFSR_0.7.22.tgz, r-oldrel (x86_64): SDEFSR_0.7.22.tgz |
| Old sources: | SDEFSR archive |
Please use the canonical form https://CRAN.R-project.org/package=SDEFSR to link to this page.
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.
Health stats visible at Monitor.