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)
- Version1.0.1
- R version≥ 4.0.0
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?Yes
- missSOM citation info
- Last release05/05/2022
Documentation
Team
Sara Rejeb
Tabea Rebafka
Show author detailsRolesContributorCatherine Duveau
Show author detailsRolesContributorRon Wehrens
Show author detailsRolesCopyright holderJohannes Kruisselbrink
Show author detailsRolesCopyright holder
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- Depends1 package
- Imports2 packages
- Linking To1 package