Package: evclust
Type: Package
Title: Evidential Clustering
Version: 2.0.3
Date: 2023-11-9
Author: Thierry Denoeux
Maintainer: Thierry Denoeux <tdenoeux@utc.fr>
Description: 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. 
Depends: R (>= 3.6.0),
Imports: FNN, R.utils, limSolve, Matrix, mclust, quadprog, plyr
License: GPL-3
LazyData: TRUE
RoxygenNote: 7.2.3
Encoding: UTF-8
VignetteBuilder: utils
Suggests: utils, kernlab, MASS
NeedsCompilation: no
Packaged: 2023-11-09 12:55:56 UTC; Thierry
Repository: CRAN
Date/Publication: 2023-11-09 14:00:02 UTC
Built: R 4.2.3; ; 2024-04-24 01:22:32 UTC; windows
