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clustvarsel  

Variable Selection for Gaussian Model-Based Clustering
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("clustvarsel", "2.3.4")



Attach the package and use:
library("clustvarsel")
Maintained by
Luca Scrucca
[Scholar Profile | Author Map]
First Published: 2006-03-20
Latest Update: 2020-12-16
Description:
Variable selection for Gaussian model-based clustering as implemented in the 'mclust' package. The methodology allows to find the (locally) optimal subset of variables in a data set that have group/cluster information. A greedy or headlong search can be used, either in a forward-backward or backward-forward direction, with or without sub-sampling at the hierarchical clustering stage for starting 'mclust' models. By default the algorithm uses a sequential search, but parallelisation is also available.
How to cite:
Luca Scrucca (2006). clustvarsel: Variable Selection for Gaussian Model-Based Clustering. R package version 2.3.4, https://cran.r-project.org/web/packages/clustvarsel. Accessed 06 Apr. 2025.
Previous versions and publish date:
1.0 (2006-03-20 09:52), 1.1 (2009-02-19 14:26), 1.2 (2009-03-11 11:05), 1.3 (2009-08-04 12:24), 2.0 (2013-10-25 13:02), 2.1 (2014-10-15 10:41), 2.2 (2015-11-19 17:21), 2.3.1 (2017-07-07 18:23), 2.3.2 (2018-04-09 17:52), 2.3.3 (2018-11-19 10:20), 2.3.4 (2020-12-16 09:20), 2.3 (2017-02-24 16:46)
Other packages that cited clustvarsel R package
View clustvarsel citation profile
Other R packages that clustvarsel depends, imports, suggests or enhances
Complete documentation for clustvarsel
Functions, R codes and Examples using the clustvarsel R package
Some associated functions: clustvarsel-internal . clustvarsel . 
Some associated R codes: bicreg.R . clustvarsel.R . clvarselgrbkw.R . clvarselgrfwd.R . clvarselhlbkw.R . clvarselhlfwd.R . startParallel.R . zzz.R .  Full clustvarsel package functions and examples
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