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evclust  

Evidential Clustering
View on CRAN: Click here


Download and install evclust package within the R console
Install from CRAN:
install.packages("evclust")

Install from Github:
library("remotes")
install_github("cran/evclust")

Install by package version:
library("remotes")
install_version("evclust", "2.0.3")



Attach the package and use:
library("evclust")
Maintained by
Thierry Denoeux
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-05-28
Latest Update: 2023-11-09
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.
How to cite:
Thierry Denoeux (2016). evclust: Evidential Clustering. R package version 2.0.3, https://cran.r-project.org/web/packages/evclust. Accessed 22 Dec. 2024.
Previous versions and publish date:
1.0.1 (2016-05-28 08:18), 1.0.2 (2016-05-29 09:38), 1.0.3 (2016-09-04 13:29), 1.1.0 (2020-01-08 10:10), 2.0.0 (2021-03-05 07:10), 2.0.1 (2021-05-10 15:50), 2.0.2 (2021-05-28 12:30)
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