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)).
- Version0.1.0
- R version≥ 3.5.0 stats
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- Last release07/22/2021
Team
Juan Domingo Gonzalez
Victor J. Yohai
Show author detailsRolesAuthorRuben H. Zamar
Show author detailsRolesAuthorRicardo Maronna
Show author detailsRolesAuthor
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- Imports3 packages
- Suggests4 packages