The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
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[@]metanet.ch.
A cross-validated minimal-optimal feature selection algorithm. It utilises popularity counting, hierarchical clustering with feature dissimilarity measures, and prefiltering with all-relevant feature selection method to obtain the minimal-optimal set of features.
| Version: | 0.2.3 |
| Depends: | R (≥ 4.2.0) |
| Imports: | fastcluster, MDFS (≥ 1.5.3), splitTools |
| Published: | 2023-07-10 |
| Author: | Radosław Piliszek [aut, cre] |
| Maintainer: | Radosław Piliszek <radoslaw.piliszek at gmail.com> |
| License: | GPL-3 |
| URL: | https://www.mdfs.it/ |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | RAFS results |
| Reference manual: | RAFS.pdf |
| Package source: | RAFS_0.2.3.tar.gz |
| Windows binaries: | r-devel: RAFS_0.2.3.zip, r-release: RAFS_0.2.3.zip, r-oldrel: RAFS_0.2.3.zip |
| macOS binaries: | r-release (arm64): RAFS_0.2.3.tgz, r-oldrel (arm64): RAFS_0.2.3.tgz, r-release (x86_64): RAFS_0.2.3.tgz, r-oldrel (x86_64): RAFS_0.2.3.tgz |
| Old sources: | RAFS archive |
Please use the canonical form https://CRAN.R-project.org/package=RAFS 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.