A nonparametric two-sample test applicable to high dimensional data.
Munmun BiswasAnil Kumar GhoshPublished in: J. Multivar. Anal. (2014)
Keyphrases
- high dimensional data
- nearest neighbor
- dimensionality reduction
- low dimensional
- high dimensional
- data points
- high dimensions
- data sets
- high dimensionality
- data analysis
- dimension reduction
- subspace clustering
- original data
- linear discriminant analysis
- complex data
- input space
- high dimensional spaces
- similarity search
- clustering high dimensional data
- manifold learning
- sparse representation
- lower dimensional
- text data
- high dimensional data sets
- variable selection
- pattern recognition
- high dimensional feature spaces
- data distribution
- input data
- nonlinear dimensionality reduction
- variable weighting
- feature vectors
- sample size
- face recognition
- high dimensional datasets
- locally linear embedding
- database
- subspace learning
- feature extraction
- model selection
- knowledge discovery
- training data