Canonical correlation analysis of high-dimensional data with very small sample support.
Yang SongPeter J. SchreierDavid RamírezTanuj HasijaPublished in: Signal Process. (2016)
Keyphrases
- high dimensional data
- small sample
- canonical correlation analysis
- high dimensionality
- high dimensional
- dimensionality reduction
- low dimensional
- nearest neighbor
- dimensionality reduction methods
- data sets
- dimension reduction
- partial least squares
- data points
- data analysis
- linear discriminant analysis
- least squares
- sample size
- feature selection
- variable selection
- missing values
- ls svm
- unsupervised learning
- classification accuracy
- feature vectors
- data mining