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Streaming algorithms for robust max-min diversification

Pietracaprina, Andrea et al.
arXiv (All) · Papers
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machine-learning
Given a set of $n$ points $X$ in a metric space and an integer $k$, max-min diversification aims to select $k$ points of $X$ maximizing their minimum pairwise distance. This objective function is however highly vulnerable to noisy points. In[Amagata, AAAI23], a robust formulation is proposed which a
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