SOMbrero-package | Self Organizing Maps Bound to Realize Euclidean and Relational Outputs |
dissim.lesmis | Dataset "Les Misérables" |
impute | Impute values from prototype information |
impute.somRes | Impute values from prototype information |
initGrid | Create an empty grid |
initSOM | Initialize parameters for the SOM algorithm |
lesmis | Dataset "Les Misérables" |
myGrid | Methods for 'myGrid' objects. |
myGrid-class | Methods for 'myGrid' objects. |
paramSOM-class | Initialize parameters for the SOM algorithm |
plot.myGrid | Methods for 'myGrid' objects. |
plot.somRes | Plot a 'somRes' class object |
plot.somSC | Create super-clusters from SOM results |
predict.somRes | Predict the classification of a new observation |
presidentielles2002 | 2002 French presidential election data set |
print.myGrid | Methods for 'myGrid' objects. |
print.paramSOM | Initialize parameters for the SOM algorithm |
print.somRes | Run the SOM algorithm |
print.somSC | Create super-clusters from SOM results |
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 results |
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 |
somSC-class | Create super-clusters from SOM results |
summary.myGrid | Methods for 'myGrid' objects. |
summary.paramSOM | Initialize parameters for the SOM algorithm |
summary.somRes | Run the SOM algorithm |
summary.somSC | Create super-clusters from SOM results |
superClass | Create super-clusters from SOM results |
superClass.somRes | Create super-clusters from SOM results |
trainSOM | Run the SOM algorithm |