Elimination of Noisy Samples in Regression Datasets using Noise
Filters
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Documentation for package ‘rgnoisefilt’ version 1.1.2
Help Pages
| discCNN | Condensed Nearest Neighbors for Regression by Discretization |
| discCNN.default | Condensed Nearest Neighbors for Regression by Discretization |
| discCNN.formula | Condensed Nearest Neighbors for Regression by Discretization |
| discENN | Edited Nearest Neighbors for Regression by Discretization |
| discENN.default | Edited Nearest Neighbors for Regression by Discretization |
| discENN.formula | Edited Nearest Neighbors for Regression by Discretization |
| discNCL | Neighborhood Cleaning Rule for Regression by Discretization |
| discNCL.default | Neighborhood Cleaning Rule for Regression by Discretization |
| discNCL.formula | Neighborhood Cleaning Rule for Regression by Discretization |
| discTL | Tomek Links for Regression by Discretization |
| discTL.default | Tomek Links for Regression by Discretization |
| discTL.formula | 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 |
| regAENN.default | All-k Edited Nearest Neighbors for Regression |
| regAENN.formula | All-k Edited Nearest Neighbors for Regression |
| regBBNR | Blame Based Noise Reduction for Regression |
| regBBNR.default | Blame Based Noise Reduction for Regression |
| regBBNR.formula | Blame Based Noise Reduction for Regression |
| regCNN | Condensed Nearest Neighbors for Regression |
| regCNN.default | Condensed Nearest Neighbors for Regression |
| regCNN.formula | Condensed Nearest Neighbors for Regression |
| regCVCF | Cross-Validated Committees Filter for Regression |
| regCVCF.default | Cross-Validated Committees Filter for Regression |
| regCVCF.formula | Cross-Validated Committees Filter for Regression |
| regDF | Dynamic Filter for Regression |
| regDF.default | Dynamic Filter for Regression |
| regDF.formula | Dynamic Filter for Regression |
| regEF | Ensemble Filter for Regression |
| regEF.default | Ensemble Filter for Regression |
| regEF.formula | Ensemble Filter for Regression |
| regENN | Edited Nearest Neighbors for Regression |
| regENN.default | Edited Nearest Neighbors for Regression |
| regENN.formula | Edited Nearest Neighbors for Regression |
| regFMF | Fusion of Multiple Filters for Regression |
| regFMF.default | Fusion of Multiple Filters for Regression |
| regFMF.formula | Fusion of Multiple Filters for Regression |
| regGE | Generalized Edition for Regression |
| regGE.default | Generalized Edition for Regression |
| regGE.formula | Generalized Edition for Regression |
| regHRRF | Hybrid Repair-Remove Filter for Regression |
| regHRRF.default | Hybrid Repair-Remove Filter for Regression |
| regHRRF.formula | Hybrid Repair-Remove Filter for Regression |
| regIPF | Iterative Partitioning Filter for Regression |
| regIPF.default | Iterative Partitioning Filter for Regression |
| regIPF.formula | Iterative Partitioning Filter for Regression |
| regIRF | Iterative Robust Filter for Regression |
| regIRF.default | Iterative Robust Filter for Regression |
| regIRF.formula | Iterative Robust Filter for Regression |
| regRND | Regressand Noise Detection for Regression |
| regRND.default | Regressand Noise Detection for Regression |
| regRND.formula | Regressand Noise Detection for Regression |
| regRNN | Reduced Nearest Neighbors for Regression |
| regRNN.default | Reduced Nearest Neighbors for Regression |
| regRNN.formula | Reduced Nearest Neighbors for Regression |
| rfCDF | Covering Distance Filtering for Regression |
| rfCDF.default | Covering Distance Filtering for Regression |
| rfCDF.formula | Covering Distance Filtering for Regression |
| rfDROP2 | Decremental Reduction Optimization Procedure for Regression |
| rfDROP2.default | Decremental Reduction Optimization Procedure for Regression |
| rfDROP2.formula | Decremental Reduction Optimization Procedure for Regression |
| rfDROP3 | Decremental Reduction Optimization Procedure 3 for Regression |
| rfDROP3.default | Decremental Reduction Optimization Procedure 3 for Regression |
| rfDROP3.formula | Decremental Reduction Optimization Procedure 3 for Regression |
| rfMIF | Mutual Information-based Filter for Regression |
| rfMIF.default | Mutual Information-based Filter for Regression |
| rfMIF.formula | Mutual Information-based Filter for Regression |
| summary.rfdata | Summary function for class rfdata |