Combined Error Estimates in the Case of Dimension Reduction.
Tatiana SamrowskiPublished in: Comput. Methods Appl. Math. (2014)
Keyphrases
- dimension reduction
- error estimates
- principal component analysis
- error estimation
- linear discriminant analysis
- feature extraction
- high dimensional problems
- high dimensional data
- feature selection
- high dimensional
- manifold learning
- feature space
- data mining and machine learning
- partial least squares
- random projections
- discriminative information
- dimensionality reduction
- singular value decomposition
- low dimensional
- cluster analysis
- artificial intelligence
- cross validation
- text mining
- reinforcement learning
- face recognition
- neural network
- manifold embedding
- qr decomposition
- dimension reduction methods
- sparse metric learning