missSOM: missSOM
In missSOM: Self-Organizing Maps with Built-in Missing Data Imputation
missSOM R Documentation
missSOM
Description
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.
Details
Self-Organizing Maps with Built-in Missing Data Imputation
Author(s)
you <youremail>
missSOM documentation built on May 5, 2022, 9:06 a.m.
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| missSOM | R Documentation |
missSOM
Description
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.
Details
Self-Organizing Maps with Built-in Missing Data Imputation
Author(s)
you <youremail>
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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