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In machine learning, hubness problem refers to the tendency in high-dimensional spaces for a few points to be the nearest neighbor of many queries, degrading nearest-neighbor retrieval and zero-shot labeling. This meaning comes from Dinu (2014) in arXiv.[1]
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