Linear regression for numeric symbolic variables: a least squares approach based on Wasserstein Distance.
Antonio IrpinoRosanna VerdePublished in: Adv. Data Anal. Classif. (2015)
Keyphrases
- linear regression
- least squares
- predictor variables
- regression problems
- numeric attributes
- symbolic data
- regression trees
- regression methods
- ridge regression
- linear regression model
- locally weighted
- nonlinear regression
- linear models
- generalized linear models
- linear model
- optical flow
- kernel density estimators
- ls svm
- variable selection
- mahalanobis distance
- regression method
- pointwise
- input variables