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SOMbrero (version 1.2-4)

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) and a graphical user interface based on 'shiny'.

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Version

Install

install.packages('SOMbrero')

Monthly Downloads

500

Version

1.2-4

License

GPL (>= 2)

Maintainer

Nathalie Vialaneix

Last Published

March 7th, 2019

Functions in SOMbrero (1.2-4)

trainSOM

Run the SOM algorithm
projectIGraph

Compute the projection of a graph on a grid
sombreroGUI

Graphical Web User Interface for SOMbrero
SOMbrero

Self Organizing Maps Bound to Realize Euclidean and Relational Outputs
initGrid

Create an empty Self-Organizing Map structure
superClass

Create super-clusters from SOM clustering
protoDist

Compute distances between prototypes
initSOM

Initialize parameters for the SOM algorithm
lesmis

Dataset "Les Miserables"
quality

Compute SOM algorithm quality criteria
predict.somRes

Predict the classification of a new observation
presidentielles2002

2002 French presidential election data set
somRes.plotting

Plotting somRes results
plot.myGrid

Draw a myGrid class object
plot.somRes

Draw a somRes class object