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otrimle  

Robust Model-Based Clustering
View on CRAN: Click here


Download and install otrimle package within the R console
Install from CRAN:
install.packages("otrimle")

Install from Github:
library("remotes")
install_github("cran/otrimle")

Install by package version:
library("remotes")
install_version("otrimle", "2.0")



Attach the package and use:
library("otrimle")
Maintained by
Pietro Coretto
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-10-05
Latest Update: 2021-05-29
Description:
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) , and Coretto and Hennig (2017) .
How to cite:
Pietro Coretto (2016). otrimle: Robust Model-Based Clustering. R package version 2.0, https://cran.r-project.org/web/packages/otrimle. Accessed 18 Sep. 2026.
Previous versions and publish date:
(2026-07-09 06:38), 0.3 (2016-10-05 14:37), 0.4 (2016-11-30 14:55), 1.0 (2017-06-27 08:23), 1.1 (2017-06-27 18:15), 1.2 (2019-09-23 19:20), 1.3 (2019-09-24 12:10), 1.6 (2020-11-24 11:50)
Other packages that cited otrimle R package
View otrimle citation profile
Other R packages that otrimle depends, imports, suggests or enhances
Complete documentation for otrimle
Functions, R codes and Examples using the otrimle R package
Some associated functions: InitClust . banknote . generator.otrimle . kerndenscluster . kerndensmeasure . kerndensp . kmeanfun . otrimle . otrimleg . otrimlesimg . plot.otrimle . plot.rimle . rimle . 
Some associated R codes: constraints.R . ecm.R . init.R . misc.R . otrimle.R . otrimle_nc.R . plotting.R . printers.R . rimle.R . zzz.R .  Full otrimle package functions and examples
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