Package: somhca 0.1.3
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.zip(r-4.5)somhca_0.1.3.zip(r-4.4)somhca_0.1.3.zip(r-4.3)
somhca_0.1.3.tgz(r-4.4-any)somhca_0.1.3.tgz(r-4.3-any)
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://gianluca-pastorelli.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/gianluca-pastorelli/somhca/issues
Last updated 2 days agofrom:3d2555cc90. Checks:3 OK, 4 NOTE. Indexed: yes.
Target | Result | Latest binary |
---|---|---|
Doc / Vignettes | OK | Jan 24 2025 |
R-4.5-win | NOTE | Jan 24 2025 |
R-4.5-linux | NOTE | Jan 24 2025 |
R-4.4-win | NOTE | Jan 24 2025 |
R-4.4-mac | NOTE | Jan 24 2025 |
R-4.3-win | OK | Jan 24 2025 |
R-4.3-mac | 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 |