Keyphrases
- dimensionality reduction methods
- principal component analysis
- dimensionality reduction
- low dimensional
- nonlinear dimensionality reduction
- laplacian eigenmaps
- manifold learning
- discriminant analysis
- dimension reduction
- feature space
- principal components
- locally linear embedding
- high dimensional data
- face recognition
- linear discriminant analysis
- independent component analysis
- feature extraction
- preprocessing step
- random projections
- high dimensional
- singular value decomposition
- face images
- kernel pca
- euclidean space
- data sets
- discriminant projection
- distance measure
- high dimensionality
- unsupervised learning
- text mining
- riemannian manifolds
- knn
- data analysis
- feature selection
- computer vision
- data mining