evclust

swMATH15217CRANevclustMaRDI QIDQ27108

Evidential Clustering

Thierry Denoeux

Last update: 9 November 2023

Copyright license: GNU General Public License, version 3.0

Software version identifier: 2.0.2, 1.0.1, 1.0.2, 1.0.3, 1.1.0, 2.0.0, 2.0.1, 2.0.3

Source code repository: https://github.com/cran/evclust

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.

Related Items (4)

SELP: semi-supervised evidential label propagation algorithm for graph data clustering ⋮ ECM: An evidential version of the fuzzy \(c\)-means algorithm ⋮ evreg ⋮ Calibrated model-based evidential clustering using bootstrapping

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