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otrimle
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]
[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
Previous versions and publish date:
Other packages that cited otrimle R package
View otrimle citation profile
Other R packages that otrimle depends,
imports, suggests or enhances
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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