Dependence-biased clustering for variable selection with random forests.
Gianluca GazzolaMyong Kee JeongPublished in: Pattern Recognit. (2019)
Keyphrases
- variable selection
- random forests
- random forest
- cross validation
- decision trees
- high dimensional data
- machine learning algorithms
- high dimensional
- input variables
- ensemble methods
- logistic regression
- clustering algorithm
- model selection
- clustering method
- k means
- linear models
- decision tree ensembles
- dimension reduction
- cluster analysis
- unsupervised learning
- low dimensional
- data points
- high dimensionality
- machine learning methods
- dimensionality reduction
- computer vision
- machine learning
- regression problems
- data sets