Package: somhca 0.4.0

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 to generate a model using the selected dimensions. It also performs hierarchical clustering on the map nodes or other data to group similar units. Documentation about the SOM-HCA method is provided in Pastorelli et al. (2024) <doi:10.1002/xrs.3388>.

Authors:Gianluca Pastorelli [aut, cre]

somhca_0.4.0.tar.gz
somhca_0.4.0.zip(r-4.7)somhca_0.4.0.zip(r-4.6)somhca_0.4.0.zip(r-4.5)
somhca_0.4.0.tgz(r-4.6-any)somhca_0.4.0.tgz(r-4.5-any)
somhca_0.4.0.tar.gz(r-4.7-any)somhca_0.4.0.tar.gz(r-4.6-any)
somhca_0.4.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
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

On CRAN:

2.70 score 203 downloads 7 exports 107 dependencies

Last updated from:9b49b78c8b. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	169
source / vignettes	OK	210
linux-release-x86_64	OK	133
macos-release-arm64	OK	139
macos-oldrel-arm64	OK	116
windows-devel	OK	109
windows-release	OK	119
windows-oldrel	OK	87
wasm-release	OK	128

Exports:clusterSOM clusterX finalSOM generatePlot getClusterData loadMatrix optimalSOM

Dependencies:aweSOM base64enc bit bit64 bslib cachem cellranger class cli clipr cluster commonmark cpp11 crayon crosstalk data.table DEoptimR digest diptest dotCall64 dplyr DT e1071 evaluate farver fastmap fields flexmix fontawesome forcats foreign fpc fs generics ggplot2 glue gridExtra gtable haven highr hms htmltools htmlwidgets httpuv isoband jquerylib jsonlite kernlab knitr kohonen labeling later lattice lazyeval lifecycle magrittr maps maptree MASS mclust memoise mime minty modeltools nnet otel pillar pkgconfig prabclus prettyunits progress promises proxy R6 rappdirs rclipboard RColorBrewer Rcpp readODS readr readxl rematch rlang rmarkdown robustbase rpart S7 sass scales shiny sourcetools spam stringi tibble tidyselect tinytex tzdb utf8 vctrs viridis viridisLite vroom withr xfun xtable yaml zip

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Perform Clustering on SOM Nodes	clusterSOM
Perform Hierarchical Clustering on Data Objects	clusterX
Re-Train SOM Model	finalSOM
Generate SOM Visualization Plots	generatePlot
Retrieve Clustered Data	getClusterData
Load Data and Convert to a Matrix	loadMatrix
Estimate Optimal SOM Grid Size based on the Data	optimalSOM