The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
GowerSom: Self-Organizing Maps for Mixed-Attribute Data Using Gower
Distance
Implements a variant of the Self-Organizing Map (SOM) algorithm
designed for mixed-attribute datasets. Similarity between observations is
computed using the Gower distance, and categorical prototypes are updated
via heuristic strategies (weighted mode and multinomial sampling).
Provides functions for model fitting, mapping, visualization
(U-Matrix and component planes), and evaluation, making SOM applicable
to heterogeneous real-world data. For methodological details see
Sáez and Salas (2026) <doi:10.1007/s41060-025-00941-6>.
| Version: |
0.1.0 |
| Depends: |
R (≥ 4.3.0) |
| Imports: |
StatMatch, dplyr, gower, ggplot2, cluster, reshape2, grid, utils, stats, cli |
| Suggests: |
knitr, rmarkdown |
| Published: |
2026-01-27 |
| DOI: |
10.32614/CRAN.package.GowerSom |
| Author: |
Patricio Salas 
[aut, cre],
Patricio Sáez
[aut] |
| Maintainer: |
Patricio Salas <patricioasalas at udec.cl> |
| License: |
GPL-2 |
| NeedsCompilation: |
yes |
| CRAN checks: |
GowerSom results |
Documentation:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=GowerSom
to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.