Dimension reduction via principal variables.
Jonathan A. CummingDavid A. WooffPublished in: Comput. Stat. Data Anal. (2007)
Keyphrases
- dimension reduction
- variable selection
- principal component analysis
- feature extraction
- high dimensional
- dimensionality reduction
- low dimensional
- unsupervised learning
- singular value decomposition
- feature selection
- high dimensional data
- manifold learning
- linear discriminant analysis
- data mining and machine learning
- high dimensional problems
- high dimensionality
- random projections
- partial least squares
- cluster analysis
- discriminative information
- probabilistic model
- preprocessing
- least squares
- feature space
- high dimensional data analysis