R/evclust.R

In evclust: Evidential Clustering

#' evclust: A package for evidential clustering
#'
#' Various clustering algorithms that generate a credal partition, i.e., a set of mass
#' functions. Mass functions quantify the cluster-membership uncertainty of the objects.
#' The package consists in the following main functions, implementing different evidential
#' clustering algorithms:
#' \describe{
#' \item{ecm}{Evidential c-means algorithm (Masson and Denoeux, 2008)}
#' \item{recm}{Relational Evidential c-means algorithm (Masson and Denoeux, 2009)}
#' \item{kevclus}{$k$-EVCLUS algorithm (Denoeux and Masson, 2004; Denoeux et al., 2016) }
#' \item{EkNNclus}{E$k$-NNclus algorithm (Denoeux et al., 2015)}
#' \item{cecm}{Constrained Evidential c-means algorithm (Antoine et al, 2012)}
#' \item{kcevclus}{Constrained evidential clustering (Antoine et al., 2014; Li et al., 2018)}
#' \item{bpec}{Belief peak evidential clustering (Su and Denoeux, 2019)}
#' \item{nnevclus}{Neural-network based evidential clustering (Denoeux, 2020a)}
#' \item{nnevclus_mb}{Neural-network based evidential clustering, minibatch version 
#' (Denoeux, 2020a)}
#' \item{bootclus}{Model-based evidential clustering using bootstrapping 
#' (Denoeux, 2020b)}
#'}
#'
#' @docType package
#' @name evclust
#' @aliases evclust-package
#'
#' @seealso \code{\link{ecm}}, \code{\link{recm}},
#'\code{\link{cecm}}, \code{\link{kevclus}}, \code{\link{EkNNclus}}, 
#'\code{\link{kcevclus}}, \code{\link{bpec}}, \code{\link{nnevclus}}, 
#'\code{\link{nnevclus_mb}}, \code{\link{bootclus}}.
#'
#' @references
#'
#' V. Antoine, B. Quost, M.-H. Masson and T. Denoeux. CECM: Constrained
#'Evidential C-Means algorithm. Computational Statistics and Data Analysis, Vol. 56,
#'Issue 4, pages 894--914, 2012.
#'
#'T. Denoeux and M.-H. Masson. EVCLUS: Evidential Clustering of Proximity Data.
#'IEEE Transactions on Systems, Man and Cybernetics B, Vol. 34, Issue 1, 95--109, 2004.
#'
#'T. Denoeux, O. Kanjanatarakul and S. Sriboonchitta.
#'EK-NNclus: a clustering procedure based on the evidential K-nearest neighbor rule.
#'Knowledge-Based Systems, Vol. 88, pages 57--69, 2015.
#'
#'T. Denoeux, S. Sriboonchitta and O. Kanjanatarakul. Evidential clustering of large
#'dissimilarity data. Knowledge-Based Systems, vol. 106, pages 179-195, 2016.
#'
#'M.-H. Masson and T. Denoeux. ECM: An evidential version of the fuzzy c-means algorithm.
#' Pattern Recognition, Vol. 41, Issue 4, pages 1384--1397, 2008.
#'
#'M.-H. Masson and T. Denoeux. RECM: Relational Evidential c-means algorithm.
#'Pattern Recognition Letters, Vol. 30, pages 1015--1026, 2009.
#'
#'V. Antoine, B. Quost, M.-H. Masson and T. Denoeux. CEVCLUS: Evidential clustering 
#'with instance-level constraints for relational data. Soft Computing 18(7):1321-1335, 2014.
#'
#'F. Li, S. Li and T. Denoeux. k-CEVCLUS: Constrained evidential clustering of 
#'large dissimilarity data. Knowledge-Based Systems 142:29-44, 2018.
#'
#'Z.-G. Su and T. Denoeux. BPEC: Belief-Peaks Evidential Clustering. IEEE Transactions 
#'on Fuzzy Systems, 27(1):111-123, 2019.
#'
#'T. Denoeux. NN-EVCLUS: Neural Network-based Evidential Clustering. 
#'arXiv:2009.12795, 2020a.
#'
#'T. Denoeux. Calibrated model-based evidential clustering using bootstrapping. 
#'Information Sciences, Vol. 528, pages 17-45, 2020b.
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