Local Spectral Expansion Approach to High Dimensional Expanders Part II: Mixing and Geometrical Overlapping.
Izhar OppenheimPublished in: Discret. Comput. Geom. (2020)
Keyphrases
- high dimensional
- low dimensional
- dimensionality reduction
- similarity search
- high dimensionality
- sparse data
- manifold learning
- dimension reduction
- feature space
- spectral analysis
- dimensional data
- data points
- hyperspectral imagery
- high dimensional data
- multi modal
- nearest neighbor
- partially overlapping
- parameter space
- hyperspectral
- variable selection
- gene expression data
- multi dimensional
- high dimensional problems
- spectral images
- spectral methods
- high dimensional datasets
- high dimension
- high dimensional spaces
- blind source separation
- hyperspectral images
- multispectral images
- metric space
- image data
- microarray data