Cluster-based estimation for sufficient dimension reduction.
Lexin LiR. Dennis CookChristopher J. NachtsheimPublished in: Comput. Stat. Data Anal. (2004)
Keyphrases
- dimension reduction
- principal component analysis
- feature extraction
- high dimensional problems
- high dimensional
- linear discriminant analysis
- data mining and machine learning
- low dimensional
- manifold learning
- high dimensional data
- cluster analysis
- unsupervised learning
- variable selection
- dimensionality reduction
- feature selection
- discriminative information
- random projections
- feature space
- partial least squares
- singular value decomposition
- manifold embedding
- high dimensionality
- dimension reduction methods
- association rules
- sparse metric learning
- high dimensional data analysis
- intrinsic dimension
- supervised learning
- preprocessing
- face recognition