# SOM Bound to Realize Euclidean and Relational Outputs

## Documentation for package ‘SOMbrero’ version 1.2-3

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Code demos. Use demo() to run them.
- Package NEWS.

## Help Pages

dissim.lesmis | Dataset "Les Miserables"
initGrid | Create an empty Self-Organizing Map structure
initSOM | Initialize parameters for the SOM algorithm
lesmis | Dataset "Les Miserables"
plot.myGrid | Draw a 'myGrid' class object
plot.somRes | Draw a 'somRes' class object
plot.somSC | Create super-clusters from SOM clustering
predict.somRes | Predict the classification of a new observation
presidentielles2002 | 2002 French presidential election data set
print.myGrid | Create an empty Self-Organizing Map structure
print.paramSOM | Initialize parameters for the SOM algorithm
print.somRes | Run the SOM algorithm
print.somSC | Create super-clusters from SOM clustering
projectIGraph | Compute the projection of a graph on a grid
projectIGraph.somRes | Compute the projection of a graph on a grid
projectIGraph.somSC | Create super-clusters from SOM clustering
protoDist | Compute distances between prototypes
protoDist.somRes | Compute distances between prototypes
quality | Compute SOM algorithm quality criteria
quality.somRes | Compute SOM algorithm quality criteria
SOMbrero | Self Organizing Maps Bound to Realize Euclidean and Relational Outputs
sombreroGUI | Graphical Web User Interface for SOMbrero
somRes.plotting | Plotting 'somRes' results
summary.myGrid | Create an empty Self-Organizing Map structure
summary.paramSOM | Initialize parameters for the SOM algorithm
summary.somRes | Run the SOM algorithm
summary.somSC | Create super-clusters from SOM clustering
superClass | Create super-clusters from SOM clustering
superClass.somRes | Create super-clusters from SOM clustering
trainSOM | Run the SOM algorithm