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Online k-means Clustering on Arbitrary Data Streams - Lecture
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- 1 Intro
- 2 k-means clustering
- 3 The online setting
- 4 The Goal(s) Cohen-Addad et. al. 2021
- 5 A troubling example
- 6 Lower Bound
- 7 A natural starting point: streaming
- 8 A difficult case for streaming
- 9 Idea 1: don't remove centers
- 10 Proof Sketch
- 11 We still have problems on pathological examples.
- 12 Idea 2: Using the scale to delete points.
- 13 The Lemma Revisited
- 14 Our Algorithm's Performance
- 15 Proof idea
- 16 Future Directions
