Support vector machine ensembles for discriminant analysis for ranking principal components.
Tiene A. FilisbinoGilson A. GiraldiCarlos E. ThomazPublished in: Multim. Tools Appl. (2020)
Keyphrases
- discriminant analysis
- principal components
- principal component analysis
- support vector machine
- kernel principal component analysis
- hyperplane
- linear discriminant analysis
- principal components analysis
- dimensionality reduction
- feature extraction
- face recognition
- feature space
- independent component analysis
- support vector
- multi class
- dimension reduction
- partial least squares
- gabor wavelets
- svm classifier
- covariance matrix
- maximum margin
- discriminant subspace
- low dimensional
- kernel discriminant analysis
- feature selection
- dimensionality reduction methods
- decision trees
- data sets
- classification method
- support vector machine svm
- k nearest neighbor
- ensemble methods
- factor analysis
- fisher criterion
- feature set
- weight vector
- subspace learning
- kernel pca
- pattern recognition
- nearest neighbor
- kernel methods
- support vectors
- support vector regression
- cluster analysis