Supervised Dimension Reduction of Intrinsically Low-Dimensional Data.
Nikos A. VlassisYoichi MotomuraBen J. A. KrösePublished in: Neural Comput. (2002)
Keyphrases
- dimension reduction
- low dimensional
- high dimensional data
- high dimensional
- data sets
- data points
- data analysis
- input space
- data sources
- manifold learning
- dimensionality reduction
- preprocessing
- original data
- principal component analysis
- random projections
- singular value decomposition
- neural network
- input data
- nearest neighbor
- feature extraction
- semi supervised
- pattern recognition
- learning algorithm
- dimensionality reduction methods