RIVA: Indexing and Visualization of High-Dimensional Data Via Dimension Reorderings.
Michail VlachosSpiros PapadimitriouZografoula VagenaPhilip S. YuPublished in: PKDD (2006)
Keyphrases
- high dimensional data
- data analysis
- dimensional data
- intrinsic dimension
- high dimension
- high dimensional
- nearest neighbor
- dimensionality reduction
- high dimensions
- high dimensionality
- data sets
- low dimensional
- dimensionality curse
- similarity search
- dimension reduction
- data points
- subspace clustering
- high dimensional spaces
- sparse representation
- database
- linear discriminant analysis
- lower dimensional
- high dimensional datasets
- input space
- clustering high dimensional data
- data distribution
- nonlinear dimensionality reduction
- high dimensional data sets
- original data
- manifold learning
- indexing techniques
- input data
- image data
- variable weighting
- neural network
- real world
- feature extraction
- pattern recognition