Uncertainty Quantification in Graph-Based Classification of High Dimensional Data.
Andrea L. BertozziXiyang LuoAndrew M. StuartKonstantinos C. ZygalakisPublished in: SIAM/ASA J. Uncertain. Quantification (2018)
Keyphrases
- high dimensional data
- high dimensionality
- dimension reduction
- dimensionality reduction
- high dimensional
- nearest neighbor
- low dimensional
- subspace clustering
- regression problems
- high dimensions
- similarity search
- small sample size
- multivariate temporal data
- data points
- feature space
- data analysis
- data sets
- missing values
- feature selection
- data distribution
- clustering high dimensional data
- pattern recognition
- input space
- machine learning
- feature extraction
- support vector machine
- manifold learning
- lower dimensional
- high dimensional datasets
- high dimensional feature spaces
- sparse representation
- dimensionality reduction methods
- high dimensional spaces
- subspace learning
- input data
- support vector
- decision trees
- neural network
- nonlinear dimensionality reduction
- feature set