Optimal dimension reduction for array processing-generalized.
Sören AndersonArye NehoraiPublished in: IEEE Trans. Signal Process. (1995)
Keyphrases
- dimension reduction
- principal component analysis
- high dimensional
- feature extraction
- low dimensional
- data mining and machine learning
- partial least squares
- high dimensional problems
- linear discriminant analysis
- high dimensional data analysis
- discriminative information
- variable selection
- singular value decomposition
- random projections
- manifold learning
- high dimensionality
- cluster analysis
- feature space
- high dimensional data
- manifold embedding
- data mining
- unsupervised learning
- dimensionality reduction
- text mining
- data sources
- preprocessing
- machine learning