K-Means Clustering with Build-in Missing Data Imputation
Overview
This k-means algorithm is able to cluster data with missing values and as a by-product completes the data set. The implementation can deal with missing values in multiple variables and is computationally efficient since it iteratively uses the current cluster assignment to define a plausible distribution for missing value imputation. Weights are used to shrink early random draws for missing values (i.e., draws based on the cluster assignments after few iterations) towards the global mean of each feature. This shrinkage slowly fades out after a fixed number of iterations to reflect the increasing credibility of cluster assignments. See the vignette for details.
- print()/cat() replaced by message()/warning(), except for print function
- Improved documentation of return values
From NEWS.md in the release
Install
Health
NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Maintainer: ‘Oliver Pfaffel <opfaffel@gmail.com>’
No Authors@R field in DESCRIPTION.
Please add one, modifying
Authors@R: person(given = "Oliver",
family = "Pfaffel",
role = c("aut", "cre"),
email = "opfaffel@gmail.com")
as necessary.
Package CITATION file contains call(s) to old-style citEntry(). Please
use bibentry() instead.- NOTE11 OK, 2 NOTE2026-06-09
- ERROR11 OK, 1 NOTE, 1 ERROR2026-06-08
- NOTE12 OK, 2 NOTE2026-03-10
Documentation
- Help pages
- 9 (1 internal)
- Examples that run
- 100%5 run in a plain check
- Exported functions with examples
- 80%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 0%
Downloads
Dependencies
Installing ClustImpute adds 47 packages (27 with compiled code, 40 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, copula 3.5 MB.
Code & Tests
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- RR 4.6.0 released · 2026-04-24
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Package metadata
- First published
- 2019-08-01
- Total releases
- 7 / 7 yrs
- License
- GPL-3 OSI
- Download size
- 765 KB
Cite
Cite this package
Run in R for the authors' entry:
citation("ClustImpute")The package provides a citation file, so citation() returns the authors' own entry.
It points to 10.13140/rg.2.2.20143.36007.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.