Keyphrases
- dimensionality reduction
- linear dimensionality reduction
- feature mapping
- high dimensional
- low dimensionality
- feature space
- manifold learning
- principal component analysis
- pattern classification
- dimension reduction
- nonlinear dimensionality reduction
- incremental learning
- high dimensionality
- low dimensional
- kernel pca
- high dimension
- high dimensional feature space
- lower dimensional
- data driven
- multidimensional scaling
- pattern recognition
- incremental version
- feature extraction
- distances between data points
- data visualization
- data points
- nonlinear models
- high dimensional spaces
- intrinsic dimensionality
- nonlinear equations
- low dimensional manifolds
- incremental algorithms
- small size
- linear discriminant analysis
- euclidean distance