Ray-based classification framework for high-dimensional data.
Justyna P. ZwolakSandesh S. KalantreThomas McJunkinBrian J. WeberJacob M. TaylorPublished in: CoRR (2020)
Keyphrases
- high dimensional data
- high dimensionality
- dimensionality reduction
- high dimensional
- low dimensional
- dimension reduction
- small sample size
- nearest neighbor
- data points
- support vector
- regression problems
- subspace clustering
- dimensional data
- clustering high dimensional data
- feature extraction
- data sets
- high dimensional feature spaces
- feature selection
- high dimensions
- high dimensional datasets
- text data
- manifold learning
- classification algorithm
- class labels
- similarity search
- decision trees
- linear discriminant analysis
- data distribution
- outlier detection
- sample size
- training samples
- text classification
- data analysis
- pattern recognition
- variable weighting
- multivariate temporal data