A comparison of simulated annealing algorithms for variable selection in principal component analysis and discriminant analysis.
Michael J. BruscoPublished in: Comput. Stat. Data Anal. (2014)
Keyphrases
- discriminant analysis
- variable selection
- principal component analysis
- stochastic search
- linear discriminant analysis
- simulated annealing
- dimensionality reduction methods
- linear models
- face recognition
- dimension reduction
- high dimensional
- group lasso
- graph embedding
- input variables
- feature extraction
- fisher linear discriminant analysis
- cluster analysis
- multi class
- genetic algorithm
- independent component analysis
- data sets
- cross validation
- model selection
- image data
- evolutionary algorithm
- support vector