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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:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.