Learn R Programming

SOMbrero (version 1.4-3)

SOM Bound to Realize Euclidean and Relational Outputs

Description

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) , Olteanu & Villa-Vialaneix (2005) and Cottrell et al (2004) . 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'.

Copy Link

Version

Install

install.packages('SOMbrero')

Monthly Downloads

260

Version

1.4-3

License

GPL (>= 2)

Maintainer

Nathalie Vialaneix

Last Published

June 19th, 2025

Functions in SOMbrero (1.4-3)

quality

Compute SOM algorithm quality criteria
superClass

Create super-clusters from SOM results
protoDist

Compute distances between prototypes
somRes.plotting

Plotting somRes results
sombreroGUI

Graphical Web User Interface for SOMbrero
trainSOM

Run the SOM algorithm
presidentielles2002

2002 French presidential election data set
SOMbrero-package

Self Organizing Maps Bound to Realize Euclidean and Relational Outputs
projectIGraph

Compute the projection of a graph on a grid
plot.somRes

Plot a somRes class object
initGrid

Create an empty grid
lesmis

Dataset "Les Misérables"
myGrid

Methods for 'myGrid' objects.
predict.somRes

Predict the classification of a new observation
impute

Impute values from prototype information
initSOM

Initialize parameters for the SOM algorithm