From Grassmannian to Simplicial High-Dimensional Expanders.
Louis GolowichPublished in: Electron. Colloquium Comput. Complex. (2023)
Keyphrases
- high dimensional
- low dimensional
- dimensionality reduction
- subspace learning
- similarity search
- high dimensionality
- feature space
- microarray data
- high dimensional problems
- parameter space
- dimension reduction
- data points
- multi modal
- high dimensional data
- genetic algorithm
- sparse data
- multi dimensional
- nearest neighbor
- input space
- high dimensional spaces
- graph embedding
- betti numbers
- semi supervised
- noisy data
- data analysis
- variable selection
- support vector
- multiscale
- high dimensions
- data sets