evclass: Evidential Distance-Based Classification (original) (raw)
Different evidential classifiers, which provide outputs in the form of Dempster-Shafer mass functions. The methods are: the evidential K-nearest neighbor rule, the evidential neural network, radial basis function neural networks, logistic regression, feed-forward neural networks.
| Version: | 2.0.2 |
|---|---|
| Depends: | R (≥ 3.1.0) |
| Imports: | FNN, ibelief, R.utils |
| Suggests: | knitr, rmarkdown, datasets, stats, nnet |
| Published: | 2023-11-09 |
| DOI: | 10.32614/CRAN.package.evclass |
| Author: | Thierry Denoeux |
| Maintainer: | Thierry Denoeux |
| License: | GPL-3 |
| NeedsCompilation: | no |
| Materials: | |
| In views: | MachineLearning |
| CRAN checks: | evclass results |
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