kNN Join for Dynamic High-Dimensional Data: A Parallel Approach.
Nimish UkeyZhengyi YangWenke YangBinghao LiRunze LiPublished in: ADC (2023)
Keyphrases
- high dimensional data
- knn
- nearest neighbor
- k nearest neighbor
- similarity search
- high dimensionality
- input space
- distance function
- dimensionality reduction
- dimension reduction
- low dimensional
- data points
- k nearest neighbour
- high dimensional
- subspace clustering
- text categorization
- linear discriminant analysis
- high dimensional spaces
- clustering high dimensional data
- neural network
- dimensional data
- variable selection
- data analysis
- missing values
- index structure
- locality sensitive hashing
- knn classification
- data sets
- data distribution
- classification algorithm
- support vector machine svm
- range queries
- sparse representation
- nearest neighbor search
- feature selection
- nonlinear dimensionality reduction
- high dimensional datasets
- text classification
- support vector machine
- knn classifier
- database
- database systems
- data structure
- dimensionality reduction methods
- pattern recognition
- manifold learning