Package: SOMbrero 1.4-2

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_1.4-2.tar.gz
SOMbrero_1.4-2.tar.gz(r-4.5-noble)SOMbrero_1.4-2.tar.gz(r-4.4-noble)
SOMbrero_1.4-2.tgz(r-4.4-emscripten)SOMbrero_1.4-2.tgz(r-4.3-emscripten)
SOMbrero.pdf |SOMbrero.html✨
SOMbrero/json (API)
NEWS

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

Peer review:

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

Datasets:

4.30 score 1 stars 1 packages 110 scripts 377 downloads 6 mentions 9 exports 89 dependencies

Last updated 10 months agofrom:cba848bf33. Checks:OK: 1 NOTE: 1. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 21 2024
R-4.5-linuxNOTENov 21 2024

Exports:imputeinitGridinitSOMprojectIGraphprotoDistqualitysombreroGUIsuperClasstrainSOM

Dependencies:backportsbase64encbslibcachemcheckmateclassclassIntclicolorspacecommonmarkcpp11crayoncurldata.tableDBIdeldirdigeste1071fansifarverfastmapfontawesomeFormulaformula.toolsfsgenericsggplot2ggwordcloudgluegridtextgtablehtmltoolshttpuvigraphinterpisobandjpegjquerylibjsonliteKernSmoothlabelinglaterlatticelifecyclelubridatemagrittrmarkdownMASSMatrixmemoisemetRmgcvmimemunsellnlmeoperator.toolspillarpkgconfigplyrpngpromisesproxypurrrR6rappdirsRColorBrewerRcppRcppEigenrlangs2sassscalesscatterplot3dsfshinysourcetoolsstringistringrtibbletimechangeunitsutf8vctrsviridisLitewithrwkxfunxml2xtable

SOMbrero Package description

Rendered froma-doc-SOMbrero-package.Rmdusingknitr::rmarkdownon Nov 21 2024.

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

Readme and manuals

Help Manual

Help pageTopics
Self Organizing Maps Bound to Realize Euclidean and Relational OutputsSOMbrero-package SOMbrero
Impute values from prototype informationimpute impute.somRes
Create an empty gridinitGrid
Initialize parameters for the SOM algorithminitSOM 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' class objectplot.somRes
Predict the classification of a new observationpredict.somRes
2002 French presidential election data setpresidentielles2002
Compute the projection of a graph on a gridprojectIGraph projectIGraph.somRes
Compute distances between prototypesprotoDist protoDist.somRes
Compute SOM algorithm quality criteriaquality quality.somRes
Graphical Web User Interface for SOMbrerosombreroGUI
Plotting 'somRes' resultssomRes.plotting
Create super-clusters from SOM resultsplot.somSC print.somSC projectIGraph.somSC somSC-class summary.somSC superClass superClass.somRes
Run the SOM algorithmprint.somRes summary.somRes trainSOM