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clustvarsel
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", "2.3.5")
Attach the package and use:
library("clustvarsel")
Maintained by
Luca Scrucca
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.clustvarsel . clustvarsel citation info . clustvarsel results . clustvarsel.pdf . A quick tour of clustvarsel . clustvarsel_2.3.5.tar.gz . clustvarsel_2.3.5.zip . clustvarsel_2.3.5.zip . clustvarsel_2.3.5.zip . clustvarsel_2.3.5.tgz . clustvarsel_2.3.5.tgz . clustvarsel_2.3.5.tgz . clustvarsel_2.3.5.tgz . clustvarsel archive . https://CRAN.R-project.org/package=clustvarsel .
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 2.3.5, https://cran.r-project.org/web/packages/clustvarsel. Accessed 30 Apr. 2025.
Previous versions and publish date:
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Other R packages that clustvarsel depends,
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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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