Exact methods for variable selection in principal component analysis: Guide functions and pre-selection.
Joaquín A. PachecoSilvia CasadoSantiago PorrasPublished in: Comput. Stat. Data Anal. (2013)
Keyphrases
- variable selection
- principal component analysis
- dimension reduction
- input variables
- cross validation
- high dimensional
- model selection
- exact methods
- low dimensional
- high dimensional data
- lower bound
- face recognition
- singular value decomposition
- feature space
- linear discriminant analysis
- nearest neighbor
- unsupervised learning
- search space
- feature selection
- dimensionality reduction
- search methods
- dynamic programming
- branch and bound algorithm
- integer programming
- pattern recognition
- training data
- least squares