ReliefE: Feature Ranking in High-dimensional Spaces via Manifold Embeddings.
Blaz SkrljSaso DzeroskiNada LavracMatej PetkovicPublished in: CoRR (2021)
Keyphrases
- feature ranking
- manifold learning
- low dimensional
- euclidean space
- feature selection
- high dimensionality
- high dimensional
- dimensionality reduction
- feature subset selection
- high dimensional data
- fold cross validation
- support vector machine
- vector space
- gene selection
- text categorization
- feature space
- machine learning
- logistic regression
- random forest
- missing values
- semi supervised
- learning algorithm
- feature subset
- data points
- multi layer perceptron
- gene expression data
- classification models
- k nearest neighbor
- feature selection algorithms
- feature extraction
- decision trees