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Intro
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K-Means and K-Medians Under Dimension Reduction
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- 1 Intro
- 2 Euclidean k-means and k-medians
- 3 k-means under dimension reduction
- 4 k-medians under dimension reduction
- 5 Plan
- 6 Out result for k-means
- 7 Challenges
- 8 Warm-up
- 9 Problem & Notation
- 10 Distortion graph
- 11 Cost of a cluster
- 12 Everywhere-sparse edges
- 13 (1-0) non-distorted core
- 14 All clusters are large
- 15 Main Combinatorial lemma
- 16 Edges Incident on Outliers
- 17 Summary
