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: 1.1.0
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>
BugReports: NA
License: GPL-3
URL: NA
NeedsCompilation: no
In views: MachineLearning
CRAN checks: evclass results

Downloads:

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