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.


Reference manual

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2.0.2 by Thierry Denoeux, 8 months ago

Browse source code at https://github.com/cran/evclust

Authors: Thierry Denoeux

Documentation:   PDF Manual  

Task views: Cluster Analysis & Finite Mixture Models

GPL-3 license

Imports FNN, R.utils, limSolve, Matrix, mclust, quadprog, plyr

Suggests utils, kernlab, MASS

See at CRAN