# GMUM Machine Learning Group Package

## Documentation for package ‘gmum.r’ version 0.2.1

- DESCRIPTION file.
- Code demos. Use demo() to run them.

## Help Pages

calculateCentroids | calculateCentroids
caret.gmumSvmLinear | Caret model representation for SVM with linear kernel
caret.gmumSvmPoly | Caret model representation for SVM with linear kernel
caret.gmumSvmRadial | Caret model representation for SVM with radial kernel
CEC | Cross-Entropy Clustering
cec.ellipsegauss | cec.ellipsegauss
cec.ellipsegauss.extra | cec.ellipsegauss.extra
cec.mouse1.spherical | cec.mouse1.spherical
cec.mouse1.spherical.extra | cec.mouse1.spherical.extra
centers | centers
centers-method | centers
clustering | clustering
clustering.Rcpp_CecModel | clustering
clustering.Rcpp_GNGServer | clustering
convertToIGraph | convertToIGraph
covMatrix | covMatrix
covMatrix-method | covMatrix
energy | energy
energy-method | energy
errorStatistics | errorStatistics
findClosests | findClosests
get.wine.dataset.X | get.wine.dataset.X
get.wine.dataset.y | get.wine.dataset.y
getDataset | getDataset
getDataset-method | getDataset
GNG | Constructor of GrowingNeuralGas object.
gng.plot.layout.v2d | Use first two spatial coordinates as position in layout
gng.preset.cube | gng.preset.cube
gng.preset.plane | gng.preset.plane
gng.preset.sphere | gng.preset.sphere
gngLoad | gngLoad
gngSave | gngSave
insertExamples | insertExamples
isRunning | isRunning
iterations | iterations
iterations-method | iterations
logClusters | logClusters
logClusters-method | logClusters
logEnergy | logEnergy
logEnergy-method | logEnergy
meanError | meanError
MultiClassSVM-class | Class MultiClassSVM
node | node
numberNodes | numberNodes
OptimizedGNG | Constructor of Optimized GrowingNeuralGas object.
pause | pause
plot.Rcpp_CecModel | plot
plot.Rcpp_GNGServer | plot GNG object
plot.Rcpp_SVMClient | Plot SVM object
predict | predict
predict-method | predict
predict.gng | predict
predict.Rcpp_CecModel | predict
predict.Rcpp_GNGServer | predict
predict.Rcpp_SVMClient | Predict using SVM object
predictComponent | predictComponent
print.Rcpp_CecModel | print
print.Rcpp_GNGServer | print
print.Rcpp_SVMClient | Print SVM object
Rcpp_CecConfiguration-class | Class Rcpp_CecConfiguration.
Rcpp_CecModel-class | Class Rcpp_CecModel.
Rcpp_GNGServer-class | Class Rcpp_GNGServer.
Rcpp_SVMClient-class | Class Rcpp_SVMClient.
run | run
runAll | runAll
runAll-method | runAll
runOneIteration | runOneIteration
runOneIteration-method | runOneIteration
summary.Rcpp_CecModel | summary
summary.Rcpp_GNGServer | summary
summary.Rcpp_SVMClient | Summary of SVM object
SVM | Create SVM object
svm.accuracy | Measure accuracy scoreof a prediction
svm.breastcancer.dataset | svm.breastcancer.dataset
SVM.default | Create SVM object
SVM.formula | Create SVM object
svm.transduction | svm.transduction
terminate | terminate
Tset | Tset