Integrating linear discriminant analysis, polynomial basis expansion, and genetic search for two-group classification.
Michael J. BruscoClay M. VoorheesRoger J. CalantoneMichael K. BradyDouglas L. SteinleyPublished in: Commun. Stat. Simul. Comput. (2019)
Keyphrases
- linear discriminant analysis
- genetic search
- support vector machine svm
- small sample size
- discriminant features
- feature extraction
- discriminant analysis
- support vector
- dimension reduction
- class separability
- feature space
- fisher criterion
- class discrimination
- discriminative information
- dimensionality reduction
- face recognition
- subspace methods
- null space
- principal component analysis
- machine learning
- high dimensionality
- classification accuracy
- genetic algorithm
- feature selection
- decision trees
- subspace analysis
- svm classifier
- dimensionality reduction methods
- support vector machine
- scatter matrix
- linear discriminant
- qr decomposition
- principle component analysis
- feature vectors
- high dimensional
- objective function
- microarray
- text classification
- feature set
- pattern recognition
- neural network
- data sets