Performs robust cluster analysis allowing for outliers and noise that cannot be fitted by any cluster. The data are modelled by a mixture of Gaussian distributions and a noise component, which is an improper uniform distribution covering the whole Euclidean space. Parameters are estimated by (pseudo) maximum likelihood. This is fitted by a EM-type algorithm. See Coretto and Hennig (2016) <doi:10.1080/01621459.2015.1100996>, and Coretto and Hennig (2017) <https://jmlr.org/papers/v18/16-382.html>.
Version: 2.0 Imports: stats, utils, graphics, grDevices, mvtnorm, parallel, foreach, doParallel, robustbase, mclust Published: 2021-05-29 DOI: 10.32614/CRAN.package.otrimle Author: Pietro Coretto [aut, cre] (Homepage: <https://pietro-coretto.github.io>), Christian Hennig [aut] (Homepage: <https://www.unibo.it/sitoweb/christian.hennig/en>) Maintainer: Pietro Coretto <pcoretto at unisa.it> License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] NeedsCompilation: no Citation: otrimle citation info Materials: NEWS In views: Cluster, Robust CRAN checks: otrimle results Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=otrimle to link to this page.
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