Determining Principal Component Cardinality Through the Principle of Minimum Description Length.
Ami TavoryPublished in: LOD (2019)
Keyphrases
- principal components
- minimum description length
- mdl principle
- principal component analysis
- information theoretic
- multivariate data
- dimensionality reduction
- information theory
- hyperplane
- feature set
- correlation coefficient
- principal component regression
- kernel space
- computer vision
- image segmentation
- covariance matrix
- feature vectors
- partial least squares
- high dimensional
- feature extraction
- principal curves
- scoring metrics
- learning algorithm