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Algorithms for Stable and Perturbation-resilient Problems

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Proves that gamma=2 perturbation resilience for k‑means and k‑median implies a center‑proximity property, shows each optimal cluster is a subtree of the metric’s minimum spanning tree, and recovers the exact optimum by running a single‑linkage MST then a bottom‑up dynamic‑program that assigns centers. For multiway cut, shows the standard LP becomes integral under stability and improves previous thresholds to gamma = 2 − 2/k, with constructive proofs and tightness evidence.

AI-written summary · about

  1. 0:00Motivation for stability
  2. 3:04Problem definitions
  3. 6:01Stability concepts
  4. 9:47Significance of stability
  5. 11:44Historical context
  6. 15:56Algorithm plan
  7. 19:15Proving properties
  8. 23:37Clustering algorithm
  9. 27:23Summary and discussion
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