A review of algorithms to computing irreducible testors applied to feature selection.
Guillermo Sánchez-DíazManuel S. Lazo-CortésCarlos Arturo Aguirre-SaladoIván Piza-DávilaJorge P. Garcia-ContrerasPublished in: Artif. Intell. Rev. (2022)
Keyphrases
- feature selection
- computationally efficient
- orders of magnitude
- benchmark datasets
- computational complexity
- computational cost
- data sets
- multi class
- feature selection algorithms
- unsupervised learning
- classification accuracy
- data structure
- learning algorithm
- support vector machine
- mutual information
- simulated annealing
- image segmentation
- machine learning
- classification algorithm
- microarray data
- information gain
- data mining