Package: qVarSel 1.1

Stefano Benati

qVarSel: Select Variables for Optimal Clustering

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>.

Authors:Stefano Benati [aut, cre]

qVarSel_1.1.tar.gz
qVarSel_1.1.tar.gz(r-4.5-noble)qVarSel_1.1.tar.gz(r-4.4-noble)
qVarSel_1.1.tgz(r-4.4-emscripten)qVarSel_1.1.tgz(r-4.3-emscripten)
qVarSel.pdf |qVarSel.html✨
qVarSel/json (API)

# Install 'qVarSel' in R:
install.packages('qVarSel', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • c++– GNU Standard C++ Library v3

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

cpp

1.00 score 4 scripts 10 downloads 3 exports 2 dependencies

Last updated 16 days agofrom:678a9af86f. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKNov 28 2024
R-4.5-linux-x86_64OKNov 28 2024

Exports:PrtDistqVarSelHqVarSelLP

Dependencies:lpSolveAPIRcpp