Recursive dimensionality reduction using Fisher's linear discriminant.
Wendy L. PostonDavid J. MarchettePublished in: Pattern Recognit. (1998)
Keyphrases
- linear discriminant
- dimensionality reduction
- fisher criterion
- linear discriminant analysis
- high dimensional
- principal component analysis
- low dimensional
- high dimensional data
- pattern recognition
- subspace learning
- input space
- data points
- feature extraction
- feature selection
- principal components
- feature space
- machine learning
- training samples
- multi class
- support vector
- bayesian networks