Efficient kNN Join over Dynamic High-Dimensional Data.
Nimish UkeyZhengyi YangGuangjian ZhangBoge LiuBinghao LiWenjie ZhangPublished in: ADC (2022)
Keyphrases
- high dimensional data
- knn
- nearest neighbor
- k nearest neighbor
- similarity search
- distance function
- high dimensional
- high dimensionality
- low dimensional
- high dimensional spaces
- dimensionality reduction
- text categorization
- k nearest neighbour
- input space
- dimension reduction
- text classification
- manifold learning
- data points
- data distribution
- subspace clustering
- distance computation
- missing values
- linear discriminant analysis
- nearest neighbor search
- knn algorithm
- variable selection
- high dimensional datasets
- clustering high dimensional data
- classification algorithm
- index structure
- data analysis
- sparse representation
- support vector machine svm
- support vector machine
- dimensional data
- pattern recognition
- machine learning
- multi dimensional
- query processing
- database systems
- clustering algorithm
- feature selection