Uncertainty Quantification in the Classification of High Dimensional Data.
Andrea L. BertozziXiyang LuoAndrew M. StuartKonstantinos C. ZygalakisPublished in: CoRR (2017)
Keyphrases
- high dimensional data
- high dimensionality
- dimension reduction
- dimensionality reduction
- nearest neighbor
- low dimensional
- high dimensional
- small sample size
- high dimensions
- subspace clustering
- pattern recognition
- data sets
- data points
- regression problems
- high dimensional feature spaces
- similarity search
- manifold learning
- lower dimensional
- feature extraction
- input space
- text classification
- linear discriminant analysis
- decision trees
- feature space
- clustering high dimensional data
- dimensional data
- variable selection
- classification algorithm
- multivariate temporal data
- original data
- data distribution
- missing values
- sparse representation
- model selection
- image classification
- high dimensional spaces
- support vector
- text data
- input data
- high dimensional datasets
- principal component analysis
- feature vectors
- clustering algorithm
- computer vision