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A New Primal-Dual Algorithm for Continuous Euclidean k-means

Anthony Zhan, Ishan Khare

Advised by Prof. Moses Charikar and Prof. Aviad Rubinstein, as well as Ruiquan Guo (Stanford University) and Lorenzo Beretta (University of Copenhagen)

Project funded by Stanford's CURIS internship during summer 2023, and research continued during fall 2023. For a poster (including references to SOTA k-means approximation algorithms), see here.

The code in this GitHub mainly serves as a tool to build small tests and experiments. In particular, we do not currently have a full implementation of the primal-dual algorithm.

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