RMBC: Robust Model Based Clustering

A robust clustering algorithm (Model-Based) similar to Expectation Maximization for finite mixture normal distributions is implemented, its main advantage is that the estimator is resistant to outliers, that means that results of parameter estimation are still correct when there are atypical values in the sample (see Gonzalez, Maronna, Yohai and Zamar (2021) <arxiv:2102.06851>).

Getting started

Package details

AuthorJuan Domingo Gonzalez [cre, aut], Victor J. Yohai [aut], Ruben H. Zamar [aut], Ricardo Maronna [aut]
MaintainerJuan Domingo Gonzalez <juanrst@hotmail.com>
LicenseGPL (>= 2)
Package repositoryView on CRAN
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RMBC documentation built on July 22, 2021, 9:07 a.m.