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| 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 |