Detection and visualisation of outliers using kernel principal components.
Alissar NasserDenis HamadPublished in: DICTAP (2015)
Keyphrases
- principal components
- kernel space
- kernel principal component analysis
- principal component analysis
- principal component regression
- dimensionality reduction
- hyperplane
- detection algorithm
- multivariate data
- principal components analysis
- detecting outliers
- outlier detection
- computer vision
- detection method
- object detection
- support vector
- covariance matrix
- missing data
- kernel function
- feature selection
- data mining