SOM Bound to Realize Euclidean and Relational Outputs


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Documentation for package ‘SOMbrero’ version 1.2-2

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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