Supervised Manifold Learning via Random Forest Geometry-Preserving Proximities.
Jake S. RhodesPublished in: CoRR (2023)
Keyphrases
- random forest
- manifold learning
- semi supervised
- low dimensional manifolds
- geodesic distance
- random forests
- discriminant projection
- decision trees
- nonlinear dimensionality reduction
- dimensionality reduction
- high dimensional
- low dimensional
- supervised learning
- feature set
- unsupervised learning
- high dimensional data
- semi supervised learning
- dimension reduction
- ensemble methods
- subspace learning
- manifold structure
- sparse representation
- multi label
- feature selection
- feature extraction
- data sets
- active learning
- machine learning
- pairwise
- base classifiers
- labeled data
- neural network
- feature space
- data mining
- learning algorithm
- principal component analysis
- prediction accuracy
- markov random field