Package: GowerSom 0.1.0
Patricio Salas
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>.
Authors:
GowerSom_0.1.0.tar.gz
GowerSom_0.1.0.tar.gz(r-4.7-any)GowerSom_0.1.0.tar.gz(r-4.6-any)
GowerSom_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
GowerSom/json (API)
| # Install 'GowerSom' in R: |
| install.packages('GowerSom', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:9225704239. Checks:4 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 148 | ||
| source / vignettes | OK | 214 | ||
| linux-release-x86_64 | OK | 155 | ||
| wasm-release | OK | 100 |
Exports:get_bmu_gowergsom_predictgsom_Traininggsom_Umatrixgsom_updateCategoricalplot_Umatrix
Dependencies:cliclustercpp11DBIdplyrfarvergenericsggplot2gluegowergtableisobandlabelinglatticelifecyclelpSolvemagrittrMatrixminqamitoolsnumDerivpillarpkgconfigplyrproxyR6RColorBrewerRcppRcppArmadilloreshape2rlangS7scalesStatMatchstringistringrsurveysurvivaltibbletidyselectutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Map observations to BMUs (Best Matching Units) using Gower distance | get_bmu_gower |
| Predict BMUs for new data using a fitted Gower-SOM | gsom_predict |
| Train a Gower-SOM on mixed-attribute data | gsom_Training |
| Compute the U-Matrix for a trained Gower-SOM | gsom_Umatrix |
| Plot the U-Matrix of a Gower-SOM | plot_Umatrix |