A simpler spatial-sign-based two-sample test for high-dimensional data.
Yang LiZhaojun WangChangliang ZouPublished in: J. Multivar. Anal. (2016)
Keyphrases
- high dimensional data
- dimensionality reduction
- low dimensional
- nearest neighbor
- high dimensional
- subspace clustering
- high dimensionality
- high dimensions
- data sets
- data points
- similarity search
- data analysis
- dimension reduction
- input space
- manifold learning
- spatial data
- data distribution
- complex data
- lower dimensional
- clustering high dimensional data
- original data
- linear discriminant analysis
- principal component analysis
- high dimensional spaces
- nonlinear dimensionality reduction
- high dimensional datasets
- high dimensional data sets
- sparse representation
- active learning
- dimensional data
- small sample size
- neural network
- feature vectors
- face recognition
- real world