Low-rank approximations of hyperbolic embeddings.
Pratik JawanpuriaMayank MeghwanshiBamdev MishraPublished in: CoRR (2019)
Keyphrases
- low rank approximation
- subspace learning
- singular value decomposition
- dimensionality reduction
- manifold learning
- low rank
- low dimensional
- vector space
- latent semantic indexing
- spectral clustering
- iterative algorithms
- kernel matrix
- nonnegative matrix factorization
- high dimensional data
- euclidean space
- adjacency matrix
- data dependent
- partial differential equations
- reconstruction error
- semi supervised
- high dimensional
- graph matching
- data representation
- data sets
- principal component analysis
- data points
- pairwise
- feature space
- feature extraction
- clustering algorithm