Select Variables for Optimal Clustering
Overview
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.
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-04-22
- ERROR13 OK, 1 ERROR2026-04-18
- OK14 OK2026-03-10
Documentation
- Help pages
- 4includes a package overview page
- Examples that run
- 100%4 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
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- Return-value docs
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- Help pages citing references
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Downloads
Dependencies
Installing qVarSel adds 2 packages (2 with compiled code, 2.3 MB of source tarballs). Heaviest: Rcpp 1.8 MB, lpSolveAPI 479 KB.
Code & Tests
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- RR 4.6.0 released · 2026-04-24
- unarchivedReturned to CRAN2025-04-17
- 1.2Latest
- RR 4.5.0 released · 2025-04-11
- archivedRemoved from CRAN2024-12-27issues were not corrected in time
- unarchivedReturned to CRAN2024-11-28
- 1.12024-11-28 · diff ↗
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- archivedRemoved from CRAN2020-08-03check problems were not corrected in time
- RR 4.0.0 released · 2020-04-24
- RR 3.6.0 released · 2019-04-26
- RR 3.5.0 released · 2018-04-23
- RR 3.4.0 released · 2017-04-21
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- RR 3.3.0 released · 2016-05-03
- RR 3.2.0 released · 2015-04-16
- 1.02014-06-12
- RR 3.1.0 released · 2014-04-10
Package metadata
- First published
- 2014-06-12
- Total releases
- 3 / 12 yrs
- License
- GPL (>= 2) OSI
- Download size
- 7.6 KB
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