R package dmbc: Model Based Clustering of Binary Dissimilarity Measurements. Functions for fitting a Bayesian model for grouping binary dissimilarity matrices in homogeneous clusters. Currently, it includes methods only for binary data (<doi:10.18637/jss.v100.i16>).
Keywords for this software
References in zbMATH (referenced in 1 article , 1 standard article )
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- Sergio Venturini, Raffaella Piccarreta : A Bayesian Approach for Model-Based Clustering of Several Binary Dissimilarity Matrices: The dmbc Package in R (2021) not zbMATH