Shrinkage-based diagonal Hotelling's tests for high-dimensional small sample size data.
Kai DongHerbert PangTiejun TongMarc G. GentonPublished in: J. Multivar. Anal. (2016)
Keyphrases
- small sample size
- high dimensional
- data sets
- high dimensional data
- data analysis
- data points
- original data
- high dimensionality
- input data
- data mining
- noisy data
- sample space
- input space
- sample size
- similarity search
- low dimensional
- dimensionality reduction
- nearest neighbor
- image data
- knowledge discovery
- lower bound
- training data
- image processing
- computer vision