Approximate Order-Sensitive k-NN Queries over Correlated High-Dimensional Data.
Yu GuYandan GuoYang SongXiangmin ZhouGe YuPublished in: IEEE Trans. Knowl. Data Eng. (2018)
Keyphrases
- high dimensional data
- nearest neighbor
- knn
- k nearest neighbor
- similarity search
- high dimensional
- distance function
- text categorization
- dimensionality reduction
- low dimensional
- subspace clustering
- k nearest neighbour
- range queries
- high dimensionality
- high dimensional spaces
- voting methods
- data sets
- query processing
- training set
- text classification
- index structure
- manifold learning
- data analysis
- regression problems
- machine learning
- nearest neighbor search
- database
- clustering high dimensional data
- principal component analysis
- data distribution
- feature space
- metric space
- image processing