Random Forest Dissimilarity for High-Dimension Low Sample Size Classification.
Lucca Portes CavalheiroSimon BernardJean Paul BarddalLaurent HeuttePublished in: CoRR (2023)
Keyphrases
- high dimension
- small sample
- sample size
- random forest
- feature space
- decision trees
- feature set
- model selection
- feature selection
- support vector machine
- random forests
- random sampling
- real valued
- high dimensional
- upper bound
- ensemble methods
- high dimensional data
- pattern recognition
- classification accuracy
- multi label
- worst case
- input space
- classification models
- machine learning
- dimensionality reduction