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-release (x86_64): evclust_2.0.2.tgz, r-oldrel: evclust_2.0.2.tgz
Old sources: evclust archive

Linking:

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