Self-Organizing Maps with Built-in Missing Data Imputation

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.


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Reference manual

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install.packages("missSOM")

1.0.0 by Sara Rejeb, 25 days ago


Browse source code at https://github.com/cran/missSOM


Authors: Sara Rejeb [aut, cre] , Tabea Rebafka [ctb] , Catherine Duveau [ctb] , Ron Wehrens [cph] (Author of included functions from the 'kohonen' package) , Johannes Kruisselbrink [cph] (Author of included functions from the 'kohonen' package)


Documentation:   PDF Manual  


GPL (>= 2) license


Imports Rcpp, kpodclustr

Linking to Rcpp


See at CRAN