Package: SOMbrero 1.5.0

Nathalie Vialaneix

SOMbrero: SOM Bound to Realize Euclidean and Relational Outputs

The stochastic (also called on-line) version of the Self-Organising Map (SOM) algorithm is provided. Different versions of the algorithm are implemented, for numeric and relational data and for contingency tables as described, respectively, in Kohonen (2001) <isbn:3-540-67921-9>, Olteanu & Villa-Vialaneix (2005) <doi:10.1016/j.neucom.2013.11.047> and Cottrell et al (2004) <doi:10.1016/j.neunet.2004.07.010>. The package also contains many plotting features (to help the user interpret the results), can handle (and impute) missing values and is delivered with a graphical user interface based on 'shiny'.

Authors:Nathalie Vialaneix [aut, cre], Elise Maigne [aut], Jerome Mariette [aut], Madalina Olteanu [aut], Fabrice Rossi [aut], Laura Bendhaiba [ctb], Julien Boelaert [ctb]

SOMbrero_1.5.0.tar.gz
SOMbrero_1.5.0.tar.gz(r-4.7-any)SOMbrero_1.5.0.tar.gz(r-4.6-any)
SOMbrero_1.5.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
SOMbrero/json (API)

# Install 'SOMbrero' in R:

install.packages('SOMbrero', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/tuxette/sombrero/issues

Pkgdown/docs site:https://sombrero.clementine.wf

Datasets:

dissim.lesmis - Dataset "Les Misérables"
lesmis - Dataset "Les Misérables"
presidentielles2002 - 2002 French Presidential Election Dataset

On CRAN:

4.72 score 1 stars 1 packages 147 scripts 498 downloads 6 mentions 10 exports 84 dependencies

Last updated from:f7430fc2c3. Checks:4 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	160
source / vignettes	OK	218
linux-release-x86_64	OK	171
wasm-release	OK	179

Exports:cutree impute initGrid initSOM projectIGraph protoDist quality sombreroGUI superClass trainSOM

Dependencies:backports base64enc bslib cachem checkmate class classInt cli colorspace commonmark cpp11 curl data.table DBI deldir digest e1071 farver fastmap fontawesome Formula formula.tools fs generics ggplot2 ggwordcloud glue gridtext gtable htmltools httpuv igraph interp isoband jpeg jquerylib jsonlite KernSmooth labeling later lattice lifecycle litedown lubridate magrittr markdown MASS Matrix memoise metR mime operator.tools otel pkgconfig plyr png promises proxy purrr R6 rappdirs RColorBrewer Rcpp RcppEigen rlang s2 S7 sass scales scatterplot3d sf shiny sourcetools stringi stringr timechange units vctrs viridisLite withr wk xfun xml2 xtable

SOMbrero Package description

Package description | Numeric SOM | Contingency tables | Dissimilarity matrices | Session information

Rendered froma-doc-SOMbrero-package.Rmdusingknitr::rmarkdown

Last update: 2024-01-26
Started: 2019-03-07

Help page	Topics
Self Organizing Maps Bound to Realize Euclidean and Relational Outputs	SOMbrero-package SOMbrero
Impute values from prototype information	impute impute.somRes
Create an Empty Grid	initGrid
Initialize Parameters for the SOM Algorithm	initSOM paramSOM-class print.paramSOM summary.paramSOM
Dataset "Les Misérables"	dissim.lesmis lesmis
Methods for 'myGrid' Objects.	myGrid myGrid-class plot.myGrid print.myGrid summary.myGrid
Plot a 'somRes' Object	plot.somRes
Predict the Class of a New Observation	predict.somRes
2002 French Presidential Election Dataset	presidentielles2002
Compute the Projection of a Graph on a Grid	projectIGraph projectIGraph.somRes
Compute Distances Between Prototypes	protoDist protoDist.somRes
Compute SOM Quality Criteria	quality quality.somRes
Graphical Web User Interface for SOMbrero	sombreroGUI
Complete Documentation on 'somRes' Plots	somRes.plotting
Create Super-Clusters from SOM Results	cutree plot.somSC print.somSC projectIGraph.somSC somSC-class summary.somSC superClass superClass.somRes
Run the SOM Algorithm	print.somRes summary.somRes trainSOM

Package: SOMbrero 1.5.0

SOMbrero: SOM Bound to Realize Euclidean and Relational Outputs

Citation

Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)