Canonical correlation analysis of high-dimensional data with very small sample support.
Yang SongPeter J. SchreierDavid RamírezTanuj HasijaPublished in: CoRR (2016)
Keyphrases
- high dimensional data
- small sample
- canonical correlation analysis
- high dimensional
- high dimensionality
- dimensionality reduction
- nearest neighbor
- low dimensional
- data sets
- dimensionality reduction methods
- data analysis
- data points
- sample size
- missing values
- feature selection
- variable selection
- linear discriminant analysis
- input data
- least squares
- unlabeled data
- preprocessing step
- pattern recognition