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cs.DS2023
Deterministic Clustering in High Dimensional Spaces: Sketches and Approximation
Vincent Cohen-Addad, David Saulpic, Chris Schwiegelshohn
In all state-of-the-art sketching and coreset techniques for clustering, as well as in the best known fixed-parameter tractable approximation algorithms, randomness plays a key rol…
cs.DS2023
Streaming Euclidean -median and -means with Space
Vincent Cohen-Addad, David P. Woodruff, Samson Zhou
We consider the classic Euclidean -median and -means objective on data streams, where the goal is to provide a -approximation to the optimal -median or $k…