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 |