Explicit Dimension Reduction and Its Applications.
Zohar Shay KarninYuval RabaniAmir ShpilkaPublished in: Electron. Colloquium Comput. Complex. (2009)
Keyphrases
- dimension reduction
- principal component analysis
- high dimensional
- low dimensional
- random projections
- feature extraction
- high dimensional data
- variable selection
- manifold learning
- cluster analysis
- data mining and machine learning
- high dimensional problems
- feature space
- discriminative information
- linear discriminant analysis
- singular value decomposition
- feature selection
- high dimensional data analysis
- dimensionality reduction
- high dimensionality
- partial least squares
- semi supervised
- image data
- preprocessing
- image sequences
- decision trees
- learning algorithm
- machine learning
- manifold embedding
- dimension reduction methods
- neural network