A Bayesian Approach for Model-Based Clustering of Several Binary Dissimilarity Matrices: The dmbc Package in R

A Bayesian Approach for Model-Based Clustering of Several Binary Dissimilarity Matrices: The dmbc Package in R

We introduce the new package dmbc that implements a Bayesian algorithm for clustering a set of binary dissimilarity matrices within a model-based framework. Specifically, we consider the case when S matrices are available, each describing the dissimilarities among the same n objects, possibly expres...

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Bibliographic Details
Main Authors: Sergio Venturini, Raffaella Piccarreta
Format: Article
Language:English
Published: Foundation for Open Access Statistics 2021-11-01
Series:Journal of Statistical Software
Subjects:
bayesian data analysis
dissimilarity matrices
information criteria
multidimen- sional scaling
mcmc
mds
mixture models
model-based clustering
Online Access:https://www.jstatsoft.org/index.php/jss/article/view/3870

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