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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: | 2.0.3 |
| Depends: | R (≥ 3.6.0) |
| Imports: | FNN, R.utils, limSolve, Matrix, mclust, quadprog, plyr |
| Suggests: | utils, kernlab, MASS |
| Published: | 2023-11-09 |
| Author: | Thierry Denoeux |
| Maintainer: | Thierry Denoeux <tdenoeux at utc.fr> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| Materials: | NEWS |
| In views: | Cluster |
| CRAN checks: | evclust results |
| Reference manual: | evclust.pdf |
| Vignettes: |
evclust_vignette |
| Package source: | evclust_2.0.3.tar.gz |
| Windows binaries: | r-devel: evclust_2.0.3.zip, r-release: evclust_2.0.3.zip, r-oldrel: evclust_2.0.3.zip |
| macOS binaries: | r-release (arm64): evclust_2.0.3.tgz, r-oldrel (arm64): evclust_2.0.3.tgz, r-release (x86_64): evclust_2.0.3.tgz, r-oldrel (x86_64): evclust_2.0.3.tgz |
| Old sources: | evclust archive |
| Reverse imports: | evreg |
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