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kkmeans  

Fast Implementations of Kernel K-Means
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("kkmeans", "0.1.3")



Attach the package and use:
library("kkmeans")
Maintained by
Josh Berlinski
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-02-01
Latest Update: 2026-02-01
Description:
Implementations several algorithms for kernel k-means. The default 'OTQT' algorithm is a fast alternative to standard implementations of kernel k-means, particularly in cases with many clusters. For a small number of clusters, the implemented 'MacQueen' method typically performs the fastest. For more details and performance evaluations, see Berlinski and Maitra (2025) <doi:10.1002/sam.70032>.
How to cite:
Josh Berlinski (2026). kkmeans: Fast Implementations of Kernel K-Means. R package version 0.1.3, https://cran.r-project.org/web/packages/kkmeans. Accessed 27 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:51), 0.1.2 (2026-01-31 20:10)
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Full kkmeans package functions and examples
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