Substructuring, Dimension Reduction and Applications: An Introduction.
Zhaojun BaiRen-Cang LiPublished in: PARA (2004)
Keyphrases
- dimension reduction
- principal component analysis
- feature extraction
- data mining and machine learning
- low dimensional
- high dimensionality
- high dimensional
- high dimensional problems
- random projections
- feature space
- high dimensional data
- singular value decomposition
- linear discriminant analysis
- high dimensional data analysis
- discriminative information
- variable selection
- partial least squares
- feature selection
- manifold learning
- cluster analysis
- unsupervised learning
- preprocessing
- dimension reduction methods
- machine learning
- pattern recognition
- manifold embedding