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bootkmeans  

A Bootstrap Augmented k-Means Algorithm for Fuzzy Partitions
View on CRAN: Click here


Download and install bootkmeans package within the R console
Install from CRAN:
install.packages("bootkmeans")

Install from Github:
library("remotes")
install_github("cran/bootkmeans")

Install by package version:
library("remotes")
install_version("bootkmeans", "1.0.0")



Attach the package and use:
library("bootkmeans")
Maintained by
Jesse S. Ghashti
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-10-16
Latest Update: 2025-10-16
Description:
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).
How to cite:
Jesse S. Ghashti (2025). bootkmeans: A Bootstrap Augmented k-Means Algorithm for Fuzzy Partitions. R package version 1.0.0, https://cran.r-project.org/web/packages/bootkmeans. Accessed 05 Jun. 2026.
Previous versions and publish date:
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Complete documentation for bootkmeans
Functions, R codes and Examples using the bootkmeans R package
Full bootkmeans package functions and examples
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