Interpolation of sparse high-dimensional data.
Thomas C. H. LuxLayne T. WatsonTyler H. ChangYili HongKirk W. CameronPublished in: Numer. Algorithms (2021)
Keyphrases
- high dimensional data
- high dimensional
- sparse representation
- low dimensional
- dimensionality reduction
- nearest neighbor
- high dimensionality
- high dimension
- high dimensions
- similarity search
- data sets
- data points
- original data
- data analysis
- subspace clustering
- dimension reduction
- manifold learning
- input space
- sparse coding
- missing values
- low rank
- data distribution
- random projections
- small sample size
- pattern recognition
- lower dimensional
- high dimensional data sets
- clustering high dimensional data
- nonlinear dimensionality reduction
- variable selection
- feature space
- subspace learning
- high dimensional spaces
- high dimensional datasets
- input data
- image processing
- text data
- dimensional data
- linear discriminant analysis
- index structure
- high dimensional feature spaces
- real world