Generalized Nonparametric Composite Tests for High-Dimensional Data.
Xiaoli KongAlejandro Villasante-TezanosSolomon W. HarrarPublished in: Symmetry (2022)
Keyphrases
- high dimensional data
- dimensionality reduction
- high dimensionality
- nearest neighbor
- high dimensional
- low dimensional
- data analysis
- subspace clustering
- high dimensions
- data sets
- similarity search
- data points
- data distribution
- dimension reduction
- original data
- high dimensional spaces
- complex data
- dimensional data
- high dimensional datasets
- manifold learning
- input space
- small sample size
- neural network
- high dimensional data sets
- lower dimensional
- linear discriminant analysis
- pattern recognition
- euclidean distance
- input data
- multi dimensional
- low dimensional structure