Man pages for regfilter
Elimination of Noisy Samples in Regression Datasets using Noise Filters
| discCNN | Condensed Nearest Neighbors for Regression by Discretization |
| discENN | Edited Nearest Neighbors for Regression by Discretization |
| discNCL | Neighborhood Cleaning Rule for Regression by Discretization |
| discTL | Tomek Links for Regression by Discretization |
| plot.rfdata | Plot function for class rfdata |
| print.rfdata | Print function for class rfdata |
| regAENN | All-k Edited Nearest Neighbors for Regression |
| regBBNR | Blame Based Noise Reduction for Regression |
| regCNN | Condensed Nearest Neighbors for Regression |
| regCVCF | Cross-Validated Committees Filter for Regression |
| regDF | Dynamic Filter for Regression |
| regEF | Ensemble Filter for Regression |
| regENN | Edited Nearest Neighbors for Regression |
| regFMF | Fusion of Multiple Filters for Regression |
| regGE | Generalized Edition for Regression |
| regHRRF | Hybrid Repair-Remove Filter for Regression |
| regIPF | Iterative Partitioning Filter for Regression |
| regIRF | Iterative Robust Filter for Regression |
| regRND | Regressand Noise Detection for Regression |
| regRNN | Reduced Nearest Neighbors for Regression |
| rfCDF | Covering Distance Filtering for Regression |
| rfDROP2 | Decremental Reduction Optimization Procedure for Regression |
| rfDROP3 | Decremental Reduction Optimization Procedure 3 for Regression |
| rfMIF | Mutual Information-based Filter for Regression |
| summary.rfdata | Summary function for class rfdata |
