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# CITATION file created with {cffr} R package
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cff-version: 1.2.0
message: 'To cite package "qVarSel" in publications use:'
type: software
license: GPL-2.0-or-later
title: 'qVarSel: Select Variables for Optimal Clustering'
version: '1.1'
doi: 10.32614/CRAN.package.qVarSel
abstract: 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) <https://doi.org/10.1080/01605682.2017.1398206>.
authors:
- family-names: Benati
  given-names: Stefano
  email: stefano.benati@unitn.it
  orcid: https://orcid.org/0000-0002-1928-5224
repository: https://stefanobenati.r-universe.dev
commit: 678a9af86f2c05ca0f6343e707b4d4ce4b37b4de
date-released: '2024-11-24'
contact:
- family-names: Benati
  given-names: Stefano
  email: stefano.benati@unitn.it
  orcid: https://orcid.org/0000-0002-1928-5224