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Description

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>.
Metadata

Version

1.0.1

License

Unknown

Platforms (75)

    Darwin
    FreeBSD
    Genode
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    MMIXware
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