Isometric embeddings into cube-hypergraphs.
Gustav BuroschPier Vittorio CeccheriniPublished in: Discret. Math. (1995)
Keyphrases
- manifold learning
- euclidean space
- low dimensional
- vector space
- data cube
- dimensionality reduction
- multi dimensional
- high dimensional
- graph theory
- semi supervised
- metric space
- distance measure
- high dimensional data
- euclidean distance
- shape analysis
- dimension reduction
- sparse representation
- similarity search
- decomposition methods
- hilbert space
- machine learning
- hypergraph model
- principal component analysis
- data warehouse
- nearest neighbor
- feature space
- feature extraction
- artificial intelligence