Different evidential distance-based classifiers, which provide outputs in the form of Dempster-Shafer mass functions. The methods are: the evidential K-nearest neighbor rule and the evidential neural network.
| Version: | 1.1.0 |
| Depends: | R (≥ 3.1.0) |
| Imports: | FNN |
| Suggests: | knitr, rmarkdown, datasets |
| Published: | 2016-07-01 |
| Author: | Thierry Denoeux |
| Maintainer: | Thierry Denoeux <tdenoeux at utc.fr> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| In views: | MachineLearning |
| CRAN checks: | evclass results |
| Reference manual: | evclass.pdf |
| Vignettes: |
Introduction to the evclass package |
| Package source: | evclass_1.1.0.tar.gz |
| Windows binaries: | r-devel: evclass_1.1.0.zip, r-release: evclass_1.1.0.zip, r-oldrel: evclass_1.1.0.zip |
| OS X Mavericks binaries: | r-release: evclass_1.1.0.tgz, r-oldrel: evclass_1.1.0.tgz |
| Old sources: | evclass archive |
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