missSOM: 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. 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) <arXiv:2202.07963>.

Getting started

Package details

AuthorSara 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)
MaintainerSara Rejeb <sara.rejeb@live.fr>
LicenseGPL (>= 2)
Package repositoryView on CRAN
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missSOM documentation built on May 5, 2022, 9:06 a.m.