The Bilipschitz criterion for dimension reduction mapping design.
Markus AnderleDouglas R. HundleyMichael J. KirbyPublished in: Intell. Data Anal. (2002)
Keyphrases
- dimension reduction
- variable selection
- high dimensional data
- high dimensional
- machine learning
- feature extraction
- feature selection
- feature space
- singular value decomposition
- manifold learning
- partial least squares
- data mining and machine learning
- high dimensional problems
- object recognition
- low dimensional
- learning algorithm
- database
- manifold embedding
- dimension reduction methods