Efficient continuous kNN join over dynamic high-dimensional data.
Nimish UkeyGuangjian ZhangZhengyi YangBinghao LiWei LiWenjie ZhangPublished in: World Wide Web (WWW) (2023)
Keyphrases
- pattern recognition
- high dimensional data
- knn
- nearest neighbor
- dimensionality reduction
- k nearest neighbor
- distance function
- similarity search
- support vector machine svm
- dimensionality reduction methods
- low dimensional
- high dimensionality
- subspace clustering
- high dimensional
- distance computation
- dimension reduction
- text categorization
- k nearest neighbour
- data sets
- image processing
- data distribution
- input space
- knn algorithm
- support vector machine
- data points
- query processing
- classification algorithm
- knn classifier
- linear discriminant analysis
- clustering high dimensional data
- high dimensional spaces
- feature selection
- subspace learning
- nearest neighbor search
- manifold learning
- index structure
- text classification
- data analysis
- distance metric
- euclidean distance
- nonlinear dimensionality reduction
- training set
- knn classification