Nearest Neighbor Search on Vertically Partitioned High-Dimensional Data.
Evangelos DellisBernhard SeegerAkrivi VlachouPublished in: DaWaK (2005)
Keyphrases
- nearest neighbor search
- high dimensional data
- vertically partitioned
- nearest neighbor
- high dimensional
- similarity search
- vertically partitioned data
- privacy preserving
- low dimensional
- high dimensionality
- locality sensitive hashing
- dimension reduction
- dimensionality reduction
- knn
- high dimensional spaces
- high dimensional data sets
- data distribution
- data points
- sparse representation
- feature space
- manifold learning
- data sets
- distance function
- data analysis
- exhaustive search
- linear discriminant analysis
- neural network
- metric space
- image retrieval
- training set
- index structure
- kernel function
- linear space
- dimensional data
- small sample size
- multi dimensional
- feature vectors
- image data