Improving multiset canonical correlation analysis in high dimensional sample deficient settings.
Nicholas AsendorfRaj Rao NadakuditiPublished in: ACSSC (2015)
Keyphrases
- canonical correlation analysis
- high dimensional
- canonical correlations
- multivariate statistical
- partial least squares
- least squares
- equivalence relationship
- similarity search
- nonlinear kernel
- dimension reduction
- low dimensional
- dimensionality reduction
- high dimensional data
- computer vision
- discriminant analysis
- nearest neighbor
- feature space
- microarray
- unsupervised learning
- data points