Comparison of exact parametric tests for high-dimensional data.
Siegfried KropfJürgen LäuterDaniela KoseDietrich von RosenPublished in: Comput. Stat. Data Anal. (2009)
Keyphrases
- high dimensional data
- dimensionality reduction
- nearest neighbor
- subspace clustering
- low dimensional
- high dimensional
- high dimensionality
- data sets
- high dimensions
- data points
- data analysis
- similarity search
- dimension reduction
- data distribution
- original data
- input space
- sparse representation
- manifold learning
- high dimensional spaces
- high dimensional datasets
- input data
- complex data
- high dimensional data sets
- clustering high dimensional data
- linear discriminant analysis
- subspace learning
- lower dimensional
- image data
- small sample size
- training set
- high dimensional feature spaces
- learning algorithm