ReliefE: feature ranking in high-dimensional spaces via manifold embeddings.
Blaz SkrljSaso DzeroskiNada LavracMatej PetkovicPublished in: Mach. Learn. (2022)
Keyphrases
- feature ranking
- manifold learning
- low dimensional
- feature selection
- euclidean space
- dimensionality reduction
- high dimensionality
- high dimensional
- high dimensional data
- feature subset selection
- multi layer perceptron
- feature space
- missing values
- support vector machine
- text categorization
- classification models
- gene selection
- neural network
- fold cross validation
- feature subset
- vector space
- logistic regression
- random forest
- principal component analysis
- data points
- support vector
- gene expression data
- text classification
- pattern recognition
- data sets