PSOLDA: A particle swarm optimization approach for enhancing classification accuracy rate of linear discriminant analysis.
Shih-Wei LinShih-Chieh ChenPublished in: Appl. Soft Comput. (2009)
Keyphrases
- accuracy rate
- linear discriminant analysis
- particle swarm optimization
- discriminant analysis
- discriminant features
- small sample size
- correctly classified
- support vector
- dimensionality reduction
- support vector machine svm
- feature extraction
- face recognition
- dimension reduction
- feature space
- principal component analysis
- class separability
- discriminative information
- pattern recognition
- fisher criterion
- class discrimination
- decision trees
- linear discriminant
- null space
- high dimensional data
- subspace analysis
- svm classifier
- subspace methods
- knn
- classification accuracy
- machine learning
- training samples
- feature selection
- high dimensional
- feature vectors
- support vector machine
- face images
- detection rate
- low dimensional
- k nearest neighbor
- sample size
- detection algorithm