evclass: Evidential Distance-Based Classification

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: 1.1.1
Depends: R (≥ 3.1.0)
Imports: FNN
Suggests: knitr, rmarkdown, datasets
Published: 2017-03-20
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_1.1.1.tar.gz
Windows binaries: r-devel: evclass_1.1.1.zip, r-release: evclass_1.1.1.zip, r-oldrel: evclass_1.1.1.zip
OS X binaries: r-release: evclass_1.1.1.tgz, r-oldrel: evclass_1.1.1.tgz
Old sources: evclass archive


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