Local Search Yields a PTAS for k-Means in Doubling Metrics

@article{Friggstad2016LocalSY,
  title={Local Search Yields a PTAS for k-Means in Doubling Metrics},
  author={Zachary Friggstad and M. Rezapour and M. Salavatipour},
  journal={2016 IEEE 57th Annual Symposium on Foundations of Computer Science (FOCS)},
  year={2016},
  pages={365-374}
}
  • Zachary Friggstad, M. Rezapour, M. Salavatipour
  • Published 2016
  • Mathematics, Computer Science
  • 2016 IEEE 57th Annual Symposium on Foundations of Computer Science (FOCS)
    • The most well known and ubiquitous clustering problem encountered in nearly every branch of science is undoubtedly k-MEANS: given a set of data points and a parameter k, select k centres and partition the data points into k clusters around these centres so that the sum of squares of distances of the points to their cluster centre is minimized. Typically these data points lie in Euclidean space Rd for some d ≥ 2. k-MEANS and the first algorithms for it were introduced in the 1950's. Over the… CONTINUE READING
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