Symbolic Principal Components for Interval-Valued Data.
Lynne BillardJennifer Le-RademacherPublished in: HDSDA (2011)
Keyphrases
- principal components
- interval valued data
- regression model
- regression analysis
- principal component analysis
- linear regression models
- linear regression model
- multivariate data
- dimensionality reduction
- kernel space
- spectral data
- kernel principal component analysis
- least squares
- statistical analysis
- machine learning
- prediction model
- image processing