Approximation Techniques to Enable Dimensionality Reduction for Voronoi-Based Nearest Neighbor Search.
Christoph BrochhausMarc WichterichThomas SeidlPublished in: EDBT (2006)
Keyphrases
- nearest neighbor search
- dimensionality reduction
- high dimensional
- feature space
- euclidean distance
- nearest neighbor
- sequential search
- high dimensional data
- locality sensitive hashing
- low dimensional
- similarity search
- fractal image compression
- high dimensionality
- image retrieval
- exhaustive search
- memory based learning
- manhattan distance
- principal component analysis
- cost model
- data points
- search methods
- manifold learning
- pattern recognition
- high dimensional spaces
- dimensionality reduction methods
- feature extraction
- data sets
- feature selection
- index structure
- dimensional data
- neural network
- nonlinear dimensionality reduction
- feature vectors
- particle swarm optimization
- pattern matching