Low dimensional embeddings of ultrametrics.
Yair BartalNathan LinialManor MendelAssaf NaorPublished in: Eur. J. Comb. (2004)
Keyphrases
- low dimensional
- high dimensional
- dimensionality reduction
- manifold learning
- high dimensional data
- principal component analysis
- dimension reduction
- vector space
- euclidean space
- feature space
- data points
- input space
- multidimensional scaling
- feature representation
- graph embedding
- subspace learning
- nonlinear dimensionality reduction
- low dimensional spaces
- linear subspace
- high dimensional spaces
- data sets
- lower dimensional
- latent space
- manifold structure
- sparse representation
- pattern recognition