# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- 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) . authors: - family-names: Benati given-names: Stefano email: stefano.benati@unitn.it orcid: https://orcid.org/0000-0002-1928-5224 repository: https://CRAN.R-project.org/package=qVarSel 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