Indexing high-dimensional data in dual distance spaces: a symmetrical encoding approach.
Yi ZhuangYueting ZhuangQing LiLei ChenYi YuPublished in: EDBT (2008)
Keyphrases
- high dimensional data
- dimensionality reduction
- similarity search
- nearest neighbor
- low dimensional
- high dimensional
- high dimensionality
- distance function
- dimensionality curse
- data points
- subspace clustering
- high dimensions
- data sets
- distance computation
- data analysis
- intrinsic dimension
- euclidean distance
- data distribution
- dimension reduction
- clustering high dimensional data
- indexing techniques
- high dimensional spaces
- linear discriminant analysis
- high dimensional datasets
- lower dimensional
- manifold learning
- nonlinear dimensionality reduction
- distance measure
- high dimensional data sets
- input space
- distance metric
- dimensional data
- hamming distance
- text data
- pattern recognition
- image processing
- learning algorithm
- sparse representation
- latent space
- locally linear embedding
- distance transform
- hyperplane
- input data
- output space
- neural network