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2. A density-based algorithm for discovering clusters in large spatial databases with noise;Ester
3. The priority R-tree: a practically efficient and worst-case optimal R-tree;Arge
4. A quantitative analysis and performance study for similarity-search methods in high-dimensional spaces;Weber
5. Approximate nearest neighbors: towards removing the curse of dimensionality[A];Indyk,1998