Dimension Reduction: A Guided Tour.
Christopher J. C. BurgesPublished in: Found. Trends Mach. Learn. (2010)
Keyphrases
- dimension reduction
- principal component analysis
- high dimensional
- feature extraction
- singular value decomposition
- high dimensional problems
- high dimensional data
- data mining and machine learning
- variable selection
- random projections
- unsupervised learning
- linear discriminant analysis
- high dimensionality
- low dimensional
- feature space
- cluster analysis
- manifold learning
- feature selection
- partial least squares
- high dimensional data analysis
- database
- sparse metric learning
- discriminative information
- dimensionality reduction
- preprocessing
- computer vision
- machine learning