Package: somhca 0.1.3
Gianluca Pastorelli
somhca: Self-Organising Maps Coupled with Hierarchical Cluster Analysis
Implements self-organising maps combined with hierarchical cluster analysis (SOM-HCA) for clustering and visualization of high-dimensional data. The package includes functions to estimate the optimal map size based on various quality measures and subsequently generates a model with the selected dimensions. It also performs hierarchical clustering on the map nodes to group similar units Documentation about the SOM-HCA method is provided in Pastorelli et al. (2024) <doi:10.1002/xrs.3388>.
Authors:
somhca_0.1.3.tar.gz
somhca_0.1.3.tar.gz(r-4.5-noble)somhca_0.1.3.tar.gz(r-4.4-noble)
somhca_0.1.3.tgz(r-4.4-emscripten)somhca_0.1.3.tgz(r-4.3-emscripten)
somhca.pdf |somhca.html✨
somhca/json (API)
| # Install 'somhca' in R: |
| install.packages('somhca', 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 12 hours agofrom:9ba8cbebbe. Checks:2 OK. Indexed: no.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Jan 24 2025 |
| R-4.5-linux | OK | Jan 24 2025 |
Exports:clusterSOMfinalSOMgeneratePlotgetClusterDataoptimalSOMreadMatrix
Dependencies:aweSOMbase64encbitbit64bslibcachemcellrangerclassclicliprclustercolorspacecommonmarkcpp11crayoncrosstalkdata.tabledigestdotCall64dplyrDTe1071evaluatefansifarverfastmapfieldsfontawesomeforcatsforeignfsgenericsggplot2gluegridExtragtablehavenhighrhmshtmltoolshtmlwidgetshttpuvisobandjquerylibjsonlitekernlabknitrkohonenlabelinglaterlatticelazyevallifecyclemagrittrmapsmaptreeMASSMatrixmemoisemgcvmimemintymunsellnlmepillarpkgconfigprettyunitsprogresspromisesproxyR6rappdirsrclipboardRColorBrewerRcppreadODSreadrreadxlrematchrlangrmarkdownrpartsassscalesshinysourcetoolsspamstringitibbletidyselecttinytextzdbutf8vctrsviridisviridisLitevroomwithrxfunxtableyamlzip
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Perform Clustering on SOM Nodes | clusterSOM |
| Train Final SOM Model | finalSOM |
| Generate SOM Visualization Plots | generatePlot |
| Retrieve Clustered Data | getClusterData |
| Estimate Optimal SOM Grid Size | optimalSOM |
| Read a CSV File and Convert to a Matrix | readMatrix |
