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.


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install.packages("ClustImpute")

0.1.5 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 psych, ggplot2, knitr, rmarkdown, testthat, tidyr, Hmisc, tictoc, spelling, corrplot, covr


Suggested by FeatureImpCluster.


See at CRAN