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qVarSel  

Select Variables for Optimal Clustering
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("qVarSel", "1.2")



Attach the package and use:
library("qVarSel")
Maintained by
Stefano Benati
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2014-06-12
Latest Update: 2025-04-17
Description:
Finding hidden clusters in structured data can be hindered by the presence of masking variables. If not detected, masking variables are used to calculate the overall similarities between units, and therefore the cluster attribution is more imprecise. The algorithm q-vars implements an optimization method to find the variables that most separate units between clusters. In this way, masking variables can be discarded from the data frame and the clustering is more accurate. Tests can be found in Benati et al.(2017) <doi:10.1080/01605682.2017.1398206>.
How to cite:
Stefano Benati (2014). qVarSel: Select Variables for Optimal Clustering. R package version 1.2, https://cran.r-project.org/web/packages/qVarSel. Accessed 26 Jun. 2026.
Previous versions and publish date:
1.0 (2014-06-12 16:42), 1.1 (2024-11-28 13:10)
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Complete documentation for qVarSel
Functions, R codes and Examples using the qVarSel R package
Full qVarSel package functions and examples
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