Domain decomposed classification algorithms based on linear discriminant analysis: An optimality theory and applications.
Jingwei LiXiao-Chuan CaiPublished in: Neurocomputing (2024)
Keyphrases
- linear discriminant analysis
- feature extraction
- support vector
- small sample size
- support vector machine svm
- discriminant analysis
- feature space
- dimension reduction
- fisher criterion
- discriminant features
- pca lda
- learning algorithm
- linear discriminant
- text classification
- dimensionality reduction
- feature selection
- classification accuracy
- principal component analysis
- decision trees
- high dimensional data
- subspace analysis
- face recognition
- class separability
- subspace methods
- discriminative information
- data sets
- locality preserving projections
- pattern recognition
- high dimensional
- support vector machine
- sample size
- multi class
- k nearest neighbor
- image classification