Graphs as navigational infrastructure for high dimensional data spaces.
Catherine B. HurleyR. Wayne OldfordPublished in: Comput. Stat. (2011)
Keyphrases
- high dimensional data
- nearest neighbor
- dimensionality reduction
- low dimensional
- high dimensional
- subspace clustering
- data sets
- data analysis
- high dimensionality
- data points
- high dimensions
- original data
- data distribution
- dimension reduction
- clustering high dimensional data
- similarity search
- high dimensional spaces
- manifold learning
- text data
- linear discriminant analysis
- nonlinear dimensionality reduction
- dimensional data
- high dimensional data sets
- lower dimensional
- weighted graph
- input space
- sparse representation
- output space
- knn
- high dimensional datasets
- graph construction
- image processing
- clustering algorithm
- latent space
- subspace learning
- training data
- pattern recognition