Comparison of Linear Discriminant Analysis and Support Vector Machine in Classification of Subdural and Extradural Hemorrhages.
Hau-Lee TongMohammad Faizal Ahmad FauziSu-Cheng HawHu NgPublished in: ICSECS (1) (2011)
Keyphrases
- linear discriminant analysis
- support vector machine
- support vector machine svm
- support vector
- feature space
- discriminant features
- discriminant analysis
- small sample size
- dimension reduction
- feature extraction
- svm classifier
- principal components analysis
- discriminative information
- principal component analysis
- fisher criterion
- class separability
- feature reduction
- face recognition
- feature vectors
- dimensionality reduction
- subspace methods
- class discrimination
- multi class
- kernel principal component analysis
- classification accuracy
- svm classification
- machine learning
- null space
- locality preserving projections
- generalized discriminant analysis
- pattern recognition
- training set
- supervised dimensionality reduction
- kernel function
- knn
- hyperplane
- feature selection
- image processing
- subspace analysis
- feature set
- k nearest neighbor
- image classification
- text classification
- decision trees
- training samples
- kernel pca
- kernel discriminant analysis
- scatter matrix
- computer vision
- high dimensionality
- data mining