Implementation of evolutionary fuzzy systems for the data mining task called "subgroup discovery". It also provide a Shiny App for make the analysis easier. The algorithms works with data sets provided in KEEL, ARFF and CSV format and also with data.frame objects.
| Version: | 0.7.1.0 |
| Depends: | R (≥ 3.0.0) |
| Imports: | grDevices, methods, parallel, stats, utils |
| Suggests: | ggplot2, knitr, shiny (≥ 0.11) |
| Published: | 2016-07-13 |
| 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 <amgv0009 at red.ujaen.es> |
| License: | LGPL (≥ 3) | file LICENSE |
| URL: | https://github.com/aklxao2/SDR |
| 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_0.7.1.0.tar.gz |
| Windows binaries: | r-devel: SDEFSR_0.7.1.0.zip, r-release: SDEFSR_0.7.1.0.zip, r-oldrel: SDEFSR_0.7.1.0.zip |
| OS X binaries: | r-release: SDEFSR_0.7.1.0.tgz, r-oldrel: SDEFSR_0.7.1.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=SDEFSR to link to this page.