Scalable Clustering Over High Dimensional Vector Streams
Summary: Suffice: clustering high-dimensional vector streams under value/vector/dimension updates with a streaming-native cluster definition. Key idea is adaptive multi-reference clusters with safe regions plus a double-hash index for nearest/furthest-neighbor search, cutting similarity checks and yielding 18–120× speedups. (summarized by gpt-5-mini on Apr 11 2026)
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Authors
- 1. Han Han
- 2. Beichuan Zhang
- 3. Lei Cao
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| 2,049 | Community Detection in Social Networks: An In-depth Benchmarking Study with a Procedure-Oriented Framework | 2015 | VLDB | 9.6894639e-05 |
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