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) <doi:10.48550/arXiv.2202.07963>.
Version: 1.0.1 Depends: R (≥ 4.0.0) Imports: Rcpp (≥ 1.0.7), kpodclustr LinkingTo: Rcpp Published: 2022-05-05 DOI: 10.32614/CRAN.package.missSOM 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 In views: MissingData CRAN checks: missSOM results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=missSOM to link to this page.
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4