Dimension Reduction Forests: Local Variable Importance Using Structured Random Forests.
Joshua Daniel LoyalRuoqing ZhuYifan CuiXin ZhangPublished in: J. Comput. Graph. Stat. (2022)
Keyphrases
- random forests
- dimension reduction
- random forest
- machine learning algorithms
- decision trees
- logistic regression
- feature extraction
- principal component analysis
- ensemble methods
- high dimensional data
- high dimensional
- feature selection
- manifold learning
- linear discriminant analysis
- singular value decomposition
- low dimensional
- dimensionality reduction
- feature space
- cluster analysis
- high dimensionality
- text categorization
- structured data
- preprocessing
- image processing
- data analysis
- image segmentation
- data sets
- feature subspace