Using the Vector Distance Functions to Evolve Manifolds of Arbitrary Codimension.
José GomesOlivier D. FaugerasPublished in: Scale-Space (2001)
Keyphrases
- distance function
- similarity search
- arbitrary dimension
- nearest neighbor
- knn
- euclidean distance
- metric space
- similarity function
- vector space
- distance metric
- distance measure
- euclidean space
- complex objects
- data points
- high dimensional
- manifold learning
- quadratic form
- database systems
- high dimensional data
- distance computation
- spectral clustering
- kernel function
- feature vectors
- pattern recognition
- triangle inequality
- data sets