Feature selection for distance-based regression: An umbrella review and a one-shot wrapper.
Joakim LinjaJoonas HämäläinenPaavo NieminenTommi KärkkäinenPublished in: Neurocomputing (2023)
Keyphrases
- feature selection
- support vector machines for classification
- model selection
- supervised feature selection
- support vector
- regression problems
- mutual information
- regression model
- multi class
- feature ranking
- classification accuracy
- text classification
- feature selection algorithms
- feature set
- regression analysis
- linear regression
- text categorization
- support vector machine
- regression algorithm
- high dimensionality
- feature weighting
- locally weighted
- feature space
- information gain
- selected features
- wrapper method
- machine learning
- feature subset selection
- unsupervised learning
- partial least squares
- feature relevance
- literature review
- feature subset
- black box
- dimension reduction
- outlier detection
- knn
- structured light
- distance measure
- cross validation
- naive bayes
- regression methods
- wrapper feature selection
- feature extraction
- dimensionality reduction
- irrelevant features
- simple linear
- euclidean distance
- microarray data
- classification models