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>.
| Version: |
1.0.1 |
| Depends: |
R (≥ 4.0.0) |
| Imports: |
Rcpp (≥ 1.0.7), kpodclustr |
| LinkingTo: |
Rcpp |
| Published: |
2022-05-05 |
| Author: |
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) |
| Maintainer: |
Sara Rejeb <sara.rejeb at live.fr> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: |
yes |
| Citation: |
missSOM citation info |
| CRAN checks: |
missSOM results |
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