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

Documentation:

Reference manual:	evclass.pdf
Vignettes:	Introduction to the evclass package

Downloads:

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
macOS binaries:	r-release (arm64): evclass_1.1.1.tgz, r-oldrel (arm64): evclass_1.1.1.tgz, r-release (x86_64): evclass_1.1.1.tgz, r-oldrel (x86_64): evclass_1.1.1.tgz
Old sources:	evclass archive

Linking:

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