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 |
clustering-methods | clustering |
convertToIGraph | convertToIGraph |
covMatrix | covMatrix |
energy | energy |
errorStatistics | errorStatistics |
findClosests | findClosests |
getDataset | getDataset |
get.wine.dataset.X | get.wine.dataset.X |
get.wine.dataset.y | get.wine.dataset.y |
gng | Constructor of GrowingNeuralGas object. |
gngLoad | gngLoad |
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 |
gngSave | gngSave |
insertExamples | insertExamples |
isRunning | isRunning |
iterations | iterations |
logClusters | logClusters |
logEnergy | logEnergy |
meanError | meanError |
MultiClassSVM-class | Class MultiClassSVM |
node-methods | node |
numberNodes | numberNodes |
optimized-gng | Constructor of Optimized GrowingNeuralGas object. |
pause | pause |
plot.cec | plot |
plot.gng | plot GNG object |
plot.svm | Plot SVM object |
predict.cec | predict |
predictComponent-methods | predictComponent |
predict.gng | predict |
predict.svm | Predict using SVM object |
print.cec | |
print.gng | |
print.svm | 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. |
runAll | runAll |
run-methods | run |
runOneIteration | runOneIteration |
summary.cec | summary |
summary.gng | summary |
summary.svm | Summary of SVM object |
svm | Create SVM object |
svm.accuracy | Measure accuracy scoreof a prediction |
svm.breastcancer.dataset | svm.breastcancer.dataset |
svm.transduction | svm.transduction |
terminate-methods | terminate |
Tset | Tset |
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