A Family of Principal Component Analyses for Dealing with Outliers.
Juan Eugenio IglesiasMarleen de BruijneMarco LoogFrançois LauzeMads NielsenPublished in: MICCAI (2) (2007)
Keyphrases
- principal components
- principal component analysis
- multivariate data
- dimensionality reduction
- principal component regression
- principal components analysis
- hyperplane
- special case
- missing data
- outlier detection
- kernel space
- data points
- correlation coefficient
- noisy data
- density estimation
- statistical tests
- linear classifiers
- novelty detection
- neural network
- principal curves
- lower bound
- feature space