An adaptive cluster-target covariance based principal component analysis for interval-valued data.
Mika Sato-IlicPublished in: FUZZ-IEEE (2010)
Keyphrases
- principal component analysis
- interval valued data
- covariance matrix
- regression model
- regression analysis
- independent component analysis
- clustering algorithm
- linear regression model
- principal components
- dimensionality reduction
- low dimensional
- feature space
- dimension reduction
- face recognition
- pairwise
- linear discriminant analysis
- feature extraction
- least squares
- data points
- moving objects
- image sequences
- linear regression models
- neural network