Exact and approximate algorithms for variable selection in linear discriminant analysis.
Michael J. BruscoDouglas L. SteinleyPublished in: Comput. Stat. Data Anal. (2011)
Keyphrases
- variable selection
- exact and approximate
- linear discriminant analysis
- dimension reduction
- discriminant analysis
- linear models
- high dimensional data
- group lasso
- cross validation
- lower bound
- optimization problems
- dimensionality reduction
- principal component analysis
- neural network
- feature extraction
- face recognition
- least squares
- high dimensional
- preprocessing
- support vector
- computer vision
- learning algorithm
- machine learning
- data mining