Distance-based linear discriminant analysis for interval-valued data.
Ana Belén Ramos-GuajardoPrzemyslaw GrzegorzewskiPublished in: Inf. Sci. (2016)
Keyphrases
- linear discriminant analysis
- interval valued data
- regression model
- regression analysis
- discriminant analysis
- linear regression model
- face recognition
- principal component analysis
- dimensionality reduction
- linear regression models
- small sample size
- support vector
- fisher criterion
- feature extraction
- discriminant features
- support vector machine svm
- dimension reduction
- high dimensional data
- null space
- distance measure
- feature space
- data sets
- sample size
- regression trees
- linear model
- linear regression
- low dimensional
- least squares
- high dimensional
- machine learning