Approximation algorithms for stochastic clustering

David Harris, Shi Li, Aravind Srinivasan, Khoa Trinh, Thomas Pensyl

Neural Information Processing Systems 

We consider stochastic settings for clustering, and develop provably-good (approximation) algorithms for a number of these notions.

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