Table 2 Summary of feature selection and classification methods.
From: Radiomics-based Prognosis Analysis for Non-Small Cell Lung Cancer
Feature Reduction methods | Abbreviation | Classifiers | Abbreviation |
|---|---|---|---|
No selection | NON | Random Forest | RF |
Principal component analysis | PCA | Generalized linear model | GLM |
Independent component analysis | ICA | Support Vector Machine | SVM |
Near zero variance | NZV | Naïve Bayes | NB |
Zero Variance | ZV | Neural network | NNET |
Consensus Clustering + PCA | CC + PCA | k-nearest neighbor | KNN |
Wilcoxon | WLCX | Mixture Discriminant Analysis | MDA |
| Â | Â | Partial Least Squares GLM | PLS |
