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 (2015) <https://arxiv.org/abs/1406.0808>, and Coretto and Hennig (2016) <https://arxiv.org/abs/1309.6895>.
| Version: | 0.4 |
| Imports: | stats, graphics, grDevices, mclust, prabclus |
| Published: | 2016-11-30 |
| Author: | Pietro Coretto [aut, cre], Christian Hennig [aut] |
| Maintainer: | Pietro Coretto <pcoretto at unisa.it> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| CRAN checks: | otrimle results |
| Reference manual: | otrimle.pdf |
| Package source: | otrimle_0.4.tar.gz |
| Windows binaries: | r-devel: otrimle_0.4.zip, r-release: otrimle_0.4.zip, r-oldrel: otrimle_0.4.zip |
| OS X Mavericks binaries: | r-release: otrimle_0.4.tgz, r-oldrel: otrimle_0.4.tgz |
| Old sources: | otrimle archive |
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