Man pages for gmum.r
GMUM Machine Learning Group Package
| 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 |
