Universal Nonlinear Regression on High Dimensional Data Using Adaptive Hierarchical Trees.
Farhan KhanDariush KariIlyas Alper KaratepeSuleyman Serdar KozatPublished in: IEEE Trans. Big Data (2016)
Keyphrases
- high dimensional data
- nonlinear regression
- regression problems
- dimensionality reduction
- low dimensional
- high dimensional
- nearest neighbor
- data analysis
- high dimensionality
- data sets
- subspace clustering
- data points
- linear regression
- dimension reduction
- similarity search
- clustering high dimensional data
- high dimensional spaces
- linear discriminant analysis
- manifold learning
- input space
- missing values
- high dimensional datasets
- decision trees
- support vector machine
- support vector regression
- regression method
- feature selection
- feature vectors
- regression methods
- random forests
- database
- image processing
- feature extraction
- discriminant analysis
- principal component analysis