A Self-Organizing Approach to Managerial Nonlinear Discriminant Analysis: A Hybrid Method of Linear Discriminant Analysis and Neural Networks.
Shouhong WangPublished in: INFORMS J. Comput. (1996)
Keyphrases
- hybrid method
- discriminant analysis
- linear discriminant analysis
- neural network
- generalized discriminant analysis
- kernel principal component analysis
- face recognition
- dimensionality reduction
- principal component analysis
- kernel pca
- feature extraction
- dimension reduction
- discriminant vectors
- support vector machine svm
- hybrid algorithm
- small sample size
- support vector
- pattern recognition
- principal components analysis
- high dimensional data
- support vector machine
- class separability
- classification and regression trees
- feature space
- null space
- kernel discriminant analysis
- subspace methods
- linear discriminant
- fisher criterion
- discriminative information
- graph embedding
- partial least squares
- fisher discriminant analysis
- methods such as principal component analysis
- discriminant projection
- scatter matrices
- principal components
- supervised dimensionality reduction
- subspace projection
- low dimensional