Discriminant analysis using non-metric multidimensional scaling.
Trevor F. CoxGillian FerryPublished in: Pattern Recognit. (1993)
Keyphrases
- discriminant analysis
- multidimensional scaling
- cluster analysis
- principal component analysis
- linear discriminant analysis
- low dimensional
- dimensionality reduction
- face recognition
- kernel pca
- similarity search
- vector space
- feature extraction
- metric space
- euclidean distance
- distance function
- factor analysis
- nearest neighbor
- gabor wavelets
- data analysis
- singular value decomposition
- least squares
- dimension reduction
- manifold learning
- clustering algorithm
- geodesic distance
- data sets
- linear combination
- data mining
- neural network