A New Feature Sampling Method in Random Forests for Predicting High-Dimensional Data.
Thanh-Tung NguyenHe ZhaoJoshua Zhexue HuangThuy Thi NguyenMark Junjie LiPublished in: PAKDD (2) (2015)
Keyphrases
- high dimensional data
- random forests
- random forest
- dimensionality reduction
- high dimensional
- subspace clustering
- nearest neighbor
- decision trees
- high dimensionality
- low dimensional
- data sets
- regression problems
- logistic regression
- linear discriminant analysis
- data points
- machine learning algorithms
- dimension reduction
- ensemble methods
- data analysis
- high dimensional spaces
- feature set
- manifold learning
- clustering high dimensional data
- input space
- decision tree ensembles
- high dimensional datasets
- input data
- feature subset
- image features
- neural network
- lower dimensional
- subspace learning
- feature extraction