Persistent homology for high-dimensional data based on spectral methods.
Sebastian DamrichPhilipp BerensDmitry KobakPublished in: CoRR (2023)
Keyphrases
- high dimensional data
- spectral methods
- persistent homology
- manifold learning
- low dimensional
- dimensionality reduction
- high dimensional
- spectral analysis
- nearest neighbor
- high dimensionality
- random walk
- dimension reduction
- data points
- subspace clustering
- data analysis
- similarity search
- subspace learning
- spectral clustering
- sparse representation
- input space
- low rank
- data sets
- input data
- linear discriminant analysis
- semi supervised
- feature space
- data mining