K-means clustering with build-in missing data imputation

This clustering algorithm deals with missing data via weights that are imposed on missings and successively increased. See the vignette for details.


Reference manual

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0.1.7 by Oliver Pfaffel, 2 months ago

Browse source code at https://github.com/cran/ClustImpute

Authors: Oliver Pfaffel

Documentation:   PDF Manual  

Task views: Missing Data

GPL-3 license

Imports ClusterR, copula, dplyr, magrittr, rlang

Suggests ggExtra, ggplot2, knitr, rmarkdown, testthat, tidyr, Hmisc, tictoc, spelling, corrplot, covr

Suggested by FeatureImpCluster.

See at CRAN