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HRNN Index Detailed For Vector Search

Modernity/arxiv 1h Impact 5
Researchers have detailed HRNN, a hybrid graph index designed for approximate reverse k-nearest neighbor search on high-dimensional vectors. The index aims to efficiently return data points that consider a query vector among their k-nearest neighbors.

Topics

AI machine learning data science

Developing

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Sources · 7 independent

Modernity/arxiv

“Li, Wei Wang Abstract: Reverse k-nearest neighbor (RkNN) search returns all data points that regard a query vector as one of their k-nearest neighbors (kNNs)...”

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