Spatial indexing of high-dimensional data based on relative approximation.
Yasushi SakuraiMasatoshi YoshikawaShunsuke UemuraHaruhiko KojimaPublished in: VLDB J. (2002)
Keyphrases
- high dimensional data
- dimensionality reduction
- high dimensional
- nearest neighbor
- data sets
- low dimensional
- high dimensions
- data analysis
- dimension reduction
- input space
- high dimensionality
- similarity search
- lower dimensional
- spatial data
- dimensionality curse
- subspace clustering
- data distribution
- clustering high dimensional data
- data points
- database
- original data
- high dimensional datasets
- high dimensional spaces
- manifold learning
- low rank
- nonlinear dimensionality reduction
- high dimensional data sets
- dimensional data
- sparse representation
- linear discriminant analysis
- small sample size
- neural network
- text data
- input data
- subspace learning
- data mining
- locally linear embedding
- indexing structure
- database systems
- indexing techniques
- image data
- point cloud