Package: bootkmeans 1.0.0

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).

Authors:Jesse S. Ghashti [aut, cre], Jeffrey L. Andrews [aut], John R.J. Thompson [aut], Joyce Epp [aut], Harkunwar S. Kochar [aut]

bootkmeans_1.0.0.tar.gz
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bootkmeans_1.0.0.tgz(r-4.6-any)bootkmeans_1.0.0.tgz(r-4.5-any)
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bootkmeans_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
bootkmeans/json (API)

# Install 'bootkmeans' in R:

install.packages('bootkmeans', repos = c('https://ghashti-j.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/ghashti-j/bootkmeans/issues

On CRAN:

3.77 score 1 stars 6 scripts 1.2k downloads 5 exports 30 dependencies

Last updated from:52062b92a2. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel	OK	135
source / vignettes	OK	237
linux-release	OK	120
macos-release	OK	164
macos-oldrel	OK	94
windows-devel	OK	91
windows-release	OK	90
windows-oldrel	OK	92
wasm-release	OK	95

Exports:boot.kmeans bootk.hardsoftvis compare.clusters compare.tables fari

Dependencies:abind ade4 Biobase BiocGenerics changepoint ClassDiscovery clue cluster colorspace cpm fclust generics kernlab lattice lmtest MASS mclust movMF mvtnorm oompaBase oompaData PCDimension pixmap Rcpp RcppArmadillo skmeans slam sp Thresher zoo

bootkmeans: Bootstrap Augmented k-Means Algorithm for Parameter-less Fuzzy Clustering

Introduction | Installing | Sample Usage

Rendered frombootkmeans.Rmdusingknitr::rmarkdown

Last update: 2025-10-04
Started: 2025-09-26

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Bootstrap augmented k-means algorithm for fuzzy partitions	boot.kmeans
Visualize hard vs. soft assignments from bootstrap k-means	bootk.hardsoftvis
Compare traditional k-means, bootstrap augmented k-means, and fuzzy c-means	compare.clusters
Contingency tables comparing true labels to fitted clusterings	compare.tables
Frobenius Adjusted Rand Index for Comparing Two Partition Matrices	fari