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SOMbrero (version 1.4-2)

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'.

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Version

Install

install.packages('SOMbrero')

Monthly Downloads

260

Version

1.4-2

License

GPL (>= 2)

Maintainer

Nathalie Vialaneix

Last Published

January 25th, 2024

Functions in SOMbrero (1.4-2)

quality

Compute SOM algorithm quality criteria
somRes.plotting

Plotting somRes results
superClass

Create super-clusters from SOM results
trainSOM

Run the SOM algorithm
sombreroGUI

Graphical Web User Interface for SOMbrero
protoDist

Compute distances between prototypes
plot.somRes

Plot a somRes class object
initGrid

Create an empty grid
myGrid

Methods for 'myGrid' objects.
impute

Impute values from prototype information
lesmis

Dataset "Les Misérables"
initSOM

Initialize parameters for the SOM algorithm
presidentielles2002

2002 French presidential election data set
SOMbrero-package

Self Organizing Maps Bound to Realize Euclidean and Relational Outputs
predict.somRes

Predict the classification of a new observation
projectIGraph

Compute the projection of a graph on a grid