Visualization of High-dimensional Data via Orthogonal Curves.
César Ignacio García-OsorioColin FyfePublished in: J. Univers. Comput. Sci. (2005)
Keyphrases
- high dimensional data
- data analysis
- dimensionality reduction
- high dimensional
- nearest neighbor
- low dimensional
- high dimensionality
- subspace clustering
- high dimensions
- data points
- input space
- similarity search
- original data
- dimension reduction
- data sets
- high dimensional datasets
- high dimensional spaces
- nonlinear dimensionality reduction
- sparse representation
- linear discriminant analysis
- dimensional data
- lower dimensional
- high dimensional data sets
- clustering high dimensional data
- manifold learning
- data distribution
- input data
- principal component analysis
- distance measure
- feature space
- data structure
- similarity measure
- feature selection