A Compressive Classification Framework for High-Dimensional Data.
Muhammad Naveed TabassumEsa OllilaPublished in: CoRR (2020)
Keyphrases
- high dimensional data
- high dimensionality
- low dimensional
- dimension reduction
- high dimensional
- dimensionality reduction
- nearest neighbor
- data sets
- regression problems
- subspace clustering
- small sample size
- data analysis
- feature space
- high dimensional feature spaces
- support vector
- decision trees
- text classification
- similarity search
- data distribution
- feature extraction
- feature selection
- high dimensional datasets
- feature vectors
- high dimensions
- neural network
- data points
- nonlinear dimensionality reduction
- clustering high dimensional data
- database
- locally linear embedding
- dimensional data
- manifold learning
- linear discriminant analysis
- training samples
- training set