Package: evclust 2.0.3

Thierry Denoeux

evclust: 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.

Authors:Thierry Denoeux

evclust_2.0.3.tar.gz
evclust_2.0.3.tar.gz(r-4.5-noble)evclust_2.0.3.tar.gz(r-4.4-noble)
evclust_2.0.3.tgz(r-4.4-emscripten)evclust_2.0.3.tgz(r-4.3-emscripten)
evclust.pdf |evclust.html✨
evclust/json (API)
NEWS

Peer review:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

28 exports 0.36 score 13 dependencies 1 dependents 18 scripts 356 downloads

Last updated 10 months agofrom:db11b91c67. Checks:OK: 2. Indexed: yes.

Exports:bananasbootclusbpeccecmcreate_fuzzy_credpartcreate_hard_credpartcreate_MLCLcreateDcreatePairscredal_RIdelta_BelecmEkNNclusexpandlinkextractMassharriskcevcluskevclusknn_distkpccamakeFnnevclusnnevclus_mbnonspecificitynormalize.credpartpairwise_masspccarecm

Dependencies:FNNlatticelimSolvelpSolveMASSMatrixmclustplyrquadprogR.methodsS3R.ooR.utilsRcpp