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lowmemtkmeans  

Low Memory Use Trimmed K-Means
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("lowmemtkmeans", "0.1.4")



Attach the package and use:
library("lowmemtkmeans")
Maintained by
Andrew Thomas Jones
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-09-07
Latest Update: 2017-01-08
Description:
Performs the trimmed k-means clustering algorithm with lower memory use. It also provides a number of utility functions such as BIC calculations.
How to cite:
Andrew Thomas Jones (2016). lowmemtkmeans: Low Memory Use Trimmed K-Means. R package version 0.1.4, https://cran.r-project.org/web/packages/lowmemtkmeans. Accessed 23 Sep. 2026.
Previous versions and publish date:
(2026-07-09 07:54), 0.1.0 (2016-09-07 08:49), 0.1.1 (2016-09-15 08:14), 0.1.2 (2017-01-08 12:07)
Other packages that cited lowmemtkmeans R package
View lowmemtkmeans citation profile
Other R packages that lowmemtkmeans depends, imports, suggests or enhances
Complete documentation for lowmemtkmeans
Functions, R codes and Examples using the lowmemtkmeans R package
Some associated functions: cluster_BIC . nearest_cluster . scale_mat_inplace . tkmeans . 
Some associated R codes: RcppExports.R . wrapper.R .  Full lowmemtkmeans package functions and examples
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