otrimle: Robust Model-Based Clustering

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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>.

Author
Pietro Coretto [aut, cre], Christian Hennig [aut]
Date of publication
2016-11-30 14:55:24
Maintainer
Pietro Coretto <pcoretto@unisa.it>
License
GPL (>= 2)
Version
0.4

View on CRAN

Man pages

banknote
Swiss Banknotes Data
InitClust
Robust Initilization for Model-based Clustering Methods
otrimle
Optimally Tuned Robust Improper Maximum Likelihood Clustering
plot.otrimle
Plot Methods for OTRIMLE Objects
plot.rimle
Plot Methods for RIMLE Objects
rimle
Robust Improper Maximum Likelihood Clustering

Files in this package

otrimle
otrimle/NAMESPACE
otrimle/data
otrimle/data/banknote.rda
otrimle/R
otrimle/R/initialization.R
otrimle/R/plotting.R
otrimle/R/rimle.R
otrimle/R/EMb.R
otrimle/R/otrimle.R
otrimle/R/EMa.R
otrimle/R/misc.R
otrimle/R/constraints.R
otrimle/MD5
otrimle/DESCRIPTION
otrimle/man
otrimle/man/otrimle.Rd
otrimle/man/plot.otrimle.Rd
otrimle/man/InitClust.Rd
otrimle/man/rimle.Rd
otrimle/man/banknote.Rd
otrimle/man/plot.rimle.Rd