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popsom  

An Efficient Implementation of Kohonen"s Self-Organizing Maps (SOMs) with Starburst Visualizations
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("popsom", "6.0")



Attach the package and use:
library("popsom")
Maintained by
Lutz Hamel
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2013-09-17
Latest Update:
Description:
Kohonen's self-organizing maps with a number of distinguishing features: (1) An efficient, single threaded, stochastic training algorithm inspired by ideas from tensor algebra. Provides significant speedups over traditional single-threaded training algorithms. No special accelerator hardware required (see ). (2) Automatic centroid detection and visualization using starbursts. (3) Two models of the data: (a) a self organizing map model, (b) a centroid based clustering model. (4) A number of easily accessible quality metrics for the self organizing map and the centroid based cluster model (see ).
How to cite:
Lutz Hamel (2013). popsom: An Efficient Implementation of Kohonen"s Self-Organizing Maps (SOMs) with Starburst Visualizations. R package version 6.0, https://cran.r-project.org/web/packages/popsom. Accessed 05 Mar. 2026.
Previous versions and publish date:
2.2 (2013-09-17 14:47), 2.3 (2013-10-09 09:30), 3.0.1 (2015-07-23 15:25), 4.0.1 (2016-08-14 15:26), 4.0 (2016-08-13 19:10), 4.2.1 (2019-06-03 12:13), 4.2 (2017-06-01 06:44), 4.3.0 (2020-07-22 23:30), 4.3.1 (2020-08-29 21:00), 5.0 (2020-12-09 06:10), 5.1 (2021-01-04 18:50), 5.2 (2021-07-10 01:00), 6.0 (2021-12-20 21:40)
Other packages that cited popsom R package
View popsom citation profile
Other R packages that popsom depends, imports, suggests or enhances
Functions, R codes and Examples using the popsom R package
Some associated functions: map.build . map.convergence . map.fitted . map.marginal . map.position . map.predict . map.significance . map.starburst . map.summary . 
Some associated R codes: map-utils.R .  Full popsom package functions and examples
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