| rdetools-package |
Relevant Dimension Estimation (RDE) in Feature Spaces |
| denoiselabels |
Denoise labels |
| distimage |
Distance image |
| drawkpc |
Draw kernel pca coefficients |
| estnoise |
Estimate noise level |
| isregression |
Estimate from labels whether this is a regression problem |
| kpr |
Kernel projection regression |
| logspace |
Logarithmically spaced sequence generation |
| modelimage |
Model selection image |
| polykernel |
Calculate polynomial kernel matrix |
| rbfkernel |
Calculate RBF kernel matrix |
| rde |
Relevant Dimension Estimation (RDE) |
| rdetools |
Relevant Dimension Estimation (RDE) in Feature Spaces |
| rde_loocv |
Relevant Dimension Estimation (RDE) by Leave-One-Out Cross-Validation (LOO-CV) |
| rde_tcm |
Relevant Dimension Estimation (RDE) by Fitting a Two-Component Model (TCM) |
| selectmodel |
Model selection |
| sinc |
Calculate sinc values |
| sincdata |
Generate random sinc data |
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