Polynomial whitening for high-dimensional data.
Jonathan GillardEmily O'RiordanAnatoly ZhigljavskyPublished in: Comput. Stat. (2023)
Keyphrases
- high dimensional data
- high dimensional
- dimensionality reduction
- low dimensional
- nearest neighbor
- high dimensionality
- subspace clustering
- data sets
- high dimensions
- data analysis
- similarity search
- dimension reduction
- original data
- lower dimensional
- data points
- complex data
- high dimensional spaces
- text data
- low rank
- clustering high dimensional data
- nonlinear dimensionality reduction
- input space
- variable selection
- dimensional data
- database
- data distribution
- manifold learning
- sparse representation
- data structure
- small sample size
- multi dimensional
- locally linear embedding
- linear discriminant analysis