Keyphrases
- dimension reduction
- low dimensional
- principal component analysis
- high dimensional data
- high dimensional
- linear projection
- dimensionality reduction
- feature space
- feature extraction
- qr decomposition
- feature subspace
- high dimensional problems
- manifold learning
- linear discriminant analysis
- high dimensionality
- subspace clustering
- partial least squares
- random projections
- principal components
- singular value decomposition
- subspace learning
- feature selection
- original data
- linear subspace
- data sets
- data points
- dimension reduction methods
- high dimensional data analysis
- manifold embedding
- independent component analysis
- lower dimensional
- cluster analysis
- discriminative information
- discriminant analysis
- scatter matrices
- nearest neighbor
- preprocessing
- bayesian networks
- face recognition
- neural network