Assessing Normality of High-Dimensional Data.
H. E. T. HolgerssonRashid MansoorPublished in: Commun. Stat. Simul. Comput. (2013)
Keyphrases
- high dimensional data
- nearest neighbor
- low dimensional
- dimensionality reduction
- data sets
- high dimensional
- high dimensions
- data points
- high dimensionality
- data analysis
- input space
- original data
- similarity search
- linear discriminant analysis
- data distribution
- complex data
- manifold learning
- dimension reduction
- sparse representation
- high dimensional datasets
- clustering high dimensional data
- nonlinear dimensionality reduction
- subspace clustering
- text data
- lower dimensional
- high dimensional spaces
- subspace learning
- dimensional data
- pattern recognition
- variable selection
- training set
- feature extraction
- small sample size
- high dimensional data sets
- decision trees