vimpclust

Description

An implementation of methods related to sparse clustering and variable importance in clustering. The package currently allows to perform sparse k-means clustering with a group penalty, so that it automatically selects groups of numerical features. It also allows to perform sparse clustering and variable selection on mixed data (categorical and numerical features), by preprocessing each categorical feature as a group of numerical features. Several methods for visualizing and exploring the results are also provided. M. Chavent, J. Lacaille, A. Mourer and M. Olteanu (2020)<https://www.esann.org/sites/default/files/proceedings/2020/ES2020-103.pdf>.

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Namespaces in Imports field not imported from:
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  All declared Imports should be used.

Namespaces in Imports field not imported from:
  ‘mclust’ ‘rlang’
  All declared Imports should be used.

Dependency Network

R Observatory began tracking this package on Mar 10, 2026; it first appeared on CRAN Jan 8, 2021. Releases before tracking aren’t shown.