A faster way to compute the noise-adjusted principal components transform matrix.
R. E. RogerPublished in: IEEE Trans. Geosci. Remote. Sens. (1994)
Keyphrases
- principal components
- principal component analysis
- covariance matrix
- multivariate data
- dimensionality reduction
- singular value decomposition
- principal component regression
- kernel space
- hyperplane
- principal components analysis
- pattern recognition
- correlation matrix
- correlation coefficient
- feature set
- laplace transform
- signal to noise ratio
- kernel principal component analysis
- independent component analysis
- noise level
- weight vector
- spectral data
- row column
- hartley transform
- machine learning