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bootkmeans: A Bootstrap Augmented k-Means Algorithm for Fuzzy Partitions

Implementation of the bootkmeans algorithm, a bootstrap augmented k-means algorithm that returns probabilistic cluster assignments. From paper by Ghashti, J.S., Andrews, J.L. Thompson, J.R.J., Epp, J. and H.S. Kochar (2025), "A bootstrap augmented k-means algorithm for fuzzy partitions" (Submitted).

Version:1.0.0
Depends:R (≥ 3.5.0),lmtest,abind
Imports:MASS, stats,fclust,Thresher,mvtnorm
Suggests:knitr,markdown,ggplot2,patchwork,scales,spelling
Published:2025-10-16
DOI:10.32614/CRAN.package.bootkmeans
Author:Jesse S. Ghashti [aut, cre], Jeffrey L. Andrews [aut], John R.J. Thompson [aut], Joyce Epp [aut], Harkunwar S. Kochar [aut]
Maintainer:Jesse S. Ghashti <jesse.ghashti at ubc.ca>
License:GPL-2
NeedsCompilation:no
Language:en-US
Citation:bootkmeans citation info
Materials:README
CRAN checks:bootkmeans results

Documentation:

Reference manual:bootkmeans.html ,bootkmeans.pdf
Vignettes:bootkmeans package (source,R code)

Downloads:

Package source: bootkmeans_1.0.0.tar.gz
Windows binaries: r-devel:bootkmeans_1.0.0.zip, r-release:bootkmeans_1.0.0.zip, r-oldrel:bootkmeans_1.0.0.zip
macOS binaries: r-release (arm64):bootkmeans_1.0.0.tgz, r-oldrel (arm64):bootkmeans_1.0.0.tgz, r-release (x86_64):bootkmeans_1.0.0.tgz, r-oldrel (x86_64):bootkmeans_1.0.0.tgz

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=bootkmeansto link to this page.


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