Man pages for sevvandi/outselect
Algorithm selection for unsupervised outlier detection
| ClusterMethods | Clusters outlier detection methods according to the... |
| ComputeMetaFeaturesAll | Computes features from a dataset, but using 2 normalization... |
| ComputeMetaFeaturesMM | Computes features from a dataset, but using only MIN_MAX... |
| CorrPrRoc | Computes correlation between AUCROC performance values and... |
| CrossValidateModels | Cross validates models to reproduce results in journal and... |
| CrossValidateSensitivityToNorm | Cross validates models to predict sensitivity to... |
| CrossValidateSVM | Cross validates SVM with instance space coordinates. |
| InstSpace | Trains an SVM on instance space coordinates and draws the... |
| IsMinMaxBetter | Performs 'binom.test' to see if Min-Max is actually better... |
| PlotNewInstance | Plots a new instance in the instance space. |
| PredictPerformance | Predicts suitable outlier methods from meta-features of the... |
| SensitivityNormDatasets | Computes sensitive to normalization for dataset sources |
| SensitivityToNorm | Computes sensitive to normalization statistics. |
| SensitivityToNormMixedMod | Fits a mixed effects model to account for normalization... |
| TrainModels | Train models to predict outlier methods from meta-features of... |
