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).


You can install the development version of the bootkmeans package from GitHub with:

INSTALLATION

library(devtools)

install_github("https://github.com/ghashti-j/bootkmeans")

library(bootkmeans)

Reference manual

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install.packages("bootkmeans")

1.0.0 by Jesse S. Ghashti, a year ago


Browse source code at https://github.com/cran/bootkmeans


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


Documentation:   PDF Manual  


GPL-2 license


Imports MASS, stats, fclust, Thresher, mvtnorm

Depends on lmtest, abind

Suggests knitr, markdown, ggplot2, patchwork, scales, spelling


See at CRAN