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missSOM  

Self-Organizing Maps with Built-in Missing Data Imputation
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("missSOM", "1.0.1")



Attach the package and use:
library("missSOM")
Maintained by
Sara Rejeb
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-11-10
Latest Update: 2022-05-05
Description:
The Self-Organizing Maps with Built-in Missing Data Imputation. Missing values are imputed and regularly updated during the online Kohonen algorithm. Our method can be used for data visualisation, clustering or imputation of missing data. It is an extension of the online algorithm of the 'kohonen' package. The method is described in the article "Self-Organizing Maps for Exploration of Partially Observed Data and Imputation of Missing Values" by S. Rejeb, C. Duveau, T. Rebafka (2022) .
How to cite:
Sara Rejeb (2021). missSOM: Self-Organizing Maps with Built-in Missing Data Imputation. R package version 1.0.1, https://cran.r-project.org/web/packages/missSOM
Previous versions and publish date:
1.0.0 (2021-11-10 16:50)
Other packages that cited missSOM R package
View missSOM citation profile
Other R packages that missSOM depends, imports, suggests or enhances
Functions, R codes and Examples using the missSOM R package
Some associated functions: imputeSOM . map.missSOM . missSOM . nir . object.distances . plot.missSOM . summary.missSOM . tricolor . unit.distances . wines . yeast . 
Some associated R codes: RcppExports.R . check.data.R . getDistancePointers.R . imputeSOM.R . map.R . missSOM.R . nir.R . object.distances.R . plot.missSOM.R . somgrid.R . summary.R . tricolor.R . unit.distances.R . wines.R . yeast.R .  Full missSOM package functions and examples
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