Nonlinear principal components, II: Characterization of normal distributions.
Ernesto SalinelliPublished in: J. Multivar. Anal. (2009)
Keyphrases
- principal components
- normal distribution
- covariance matrix
- principal curves
- kernel principal component analysis
- principal component analysis
- standard deviation
- random variables
- dimensionality reduction
- correlation coefficient
- mixture distribution
- probability distribution
- kernel space
- spectral data
- kernel pca
- independent components
- probability density function
- hyperplane
- principal component regression
- data mining
- lead time
- sample size
- gaussian distribution
- unsupervised learning
- support vector
- face recognition
- decision making
- feature selection
- machine learning