UMINT-FS: UMINT-guided Feature Selection for multi-omics datasets.
Chayan MaitraDibyendu Bikash SealVivek DasYevgeniy VorobeychikRajat K. DePublished in: BIBM (2023)
Keyphrases
- feature selection
- feature selection algorithms
- microarray datasets
- text categorization
- feature set
- text classification
- classification accuracy
- dimensionality reduction
- database
- irrelevant features
- supervised feature selection
- supervised learning tasks
- linear svm
- feature weighting
- benchmark datasets
- mutual information
- data sets
- machine learning
- multi class
- support vector
- feature space
- model selection
- redundant features
- feature extraction
- information gain
- classification models
- high dimensionality
- unsupervised learning
- knn
- discriminative features
- feature ranking
- bayesian networks
- uci machine learning repository
- unsupervised feature selection
- method for feature selection
- stability of feature selection
- object detection