Graph Embedding in Vector Spaces by Means of Prototype Selection.
Kaspar RiesenMichel NeuhausHorst BunkePublished in: GbRPR (2007)
Keyphrases
- vector space
- prototype selection
- graph embedding
- low dimensional
- distance measure
- selection algorithm
- nearest neighbor classifier
- discriminant analysis
- dimensionality reduction
- semi supervised
- similarity search
- high dimensional
- euclidean space
- data distribution
- feature selection
- manifold learning
- feature space
- high dimensional data
- data representation
- feature vectors
- training set