N-Widths and ε-Dimensions for High-Dimensional Approximations.
Dinh DungTino UllrichPublished in: Found. Comput. Math. (2013)
Keyphrases
- high dimensional
- dimensional data
- low dimensional
- feature space
- dimensionality reduction
- multi modal
- sparse data
- multi dimensional
- parameter space
- similarity search
- fixed width
- efficient computation
- metric space
- microarray data
- high dimensionality
- closed form
- high dimensional data
- kernel function
- gray level
- nearest neighbor
- machine learning
- high dimensional spaces
- high dimensional datasets
- high dimensions
- data mining