Yury Makarychev
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| title | conference | date |
|---|---|---|
| k-means and k-medians under Dimension Reduction | Robust and High-Dimensional Statistics (Simons Institute workshop, 2018) | 2018-10-29 |
Shows that projecting by a random orthogonal or Gaussian map to dimension about d = Θ((log K)/ε^2) preserves the cost of every k‑means clustering up to 1+ε… | ||
| nothing matches | ||