Projection Penalties: Dimension Reduction without Loss.
Yi ZhangJeff G. SchneiderPublished in: ICML (2010)
Keyphrases
- dimension reduction
- linear projection
- principal component analysis
- high dimensional
- feature extraction
- random projections
- high dimensional problems
- low dimensional
- high dimensionality
- manifold learning
- feature selection
- variable selection
- dimensionality reduction
- singular value decomposition
- partial least squares
- data mining and machine learning
- discriminative information
- unsupervised learning
- feature space
- linear discriminant analysis
- high dimensional data
- dimension reduction methods
- projection matrix
- manifold embedding
- intrinsic dimension
- database
- cluster analysis
- preprocessing
- data analysis