evclust: Evidential Clustering

Various clustering algorithms that produce a credal partition, i.e., a set of Dempster-Shafer mass functions representing the membership of objects to clusters. The mass functions quantify the cluster-membership uncertainty of the objects. The algorithms are: Evidential c-Means, Relational Evidential c-Means, Constrained Evidential c-Means, Evidential Clustering, Constrained Evidential Clustering, Evidential K-nearest-neighbor-based Clustering, Bootstrap Model-Based Evidential Clustering, Belief Peak Evidential Clustering, Neural-Network-based Evidential Clustering.

Version:	2.0.2
Depends:	R (≥ 3.6.0)
Imports:	FNN, R.utils, limSolve, Matrix, mclust, quadprog, plyr
Suggests:	utils, kernlab, MASS
Published:	2021-05-28
Author:	Thierry Denoeux
Maintainer:	Thierry Denoeux <tdenoeux at utc.fr>
License:	GPL-3
NeedsCompilation:	no
Materials:	NEWS
In views:	Cluster
CRAN checks:	evclust results

Documentation:

Reference manual:	evclust.pdf
Vignettes:	evclust_vignette

Downloads:

Package source:	evclust_2.0.2.tar.gz
Windows binaries:	r-devel: evclust_2.0.2.zip, r-release: evclust_2.0.2.zip, r-oldrel: evclust_2.0.2.zip
macOS binaries:	r-release (arm64): evclust_2.0.2.tgz, r-oldrel (arm64): evclust_2.0.2.tgz, r-release (x86_64): evclust_2.0.2.tgz, r-oldrel (x86_64): evclust_2.0.2.tgz
Old sources:	evclust archive

Reverse dependencies:

Reverse imports:

evreg

Linking:

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