Estimating common principal components in high dimensions.
Ryan P. BrownePaul D. McNicholasPublished in: Adv. Data Anal. Classif. (2014)
Keyphrases
- principal components
- high dimensions
- high dimensional data
- dimensionality reduction
- high dimensional
- principal component analysis
- multivariate data
- high dimensional spaces
- poor quality
- principal components analysis
- kernel space
- data points
- principal component regression
- spectral data
- low dimensional
- high dimensionality
- image processing
- dimension reduction
- data sets
- covariance matrix
- kernel principal component analysis
- lower bound
- pattern recognition