Combining clustering of variables and feature selection using random forests.
Marie ChaventRobin GenuerJérôme SaraccoPublished in: Commun. Stat. Simul. Comput. (2021)
Keyphrases
- random forests
- feature selection
- random forest
- decision trees
- logistic regression
- machine learning algorithms
- ensemble methods
- unsupervised learning
- feature set
- feature extraction
- randomized trees
- classification and regression trees
- text classification
- regression trees
- dimensionality reduction
- regression problems
- support vector machine
- tree ensembles
- machine learning
- classification accuracy
- feature vectors
- genetic algorithm ga
- regression forests
- feature subset
- feature subspace
- decision tree ensembles
- data sets
- ensemble learning
- machine learning methods
- high dimensional data
- model selection
- data points
- evolutionary algorithm
- feature space
- support vector
- similarity measure