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

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