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Manhattan distance
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Understanding Distance Metrics in Data Mining - Spring 2023
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- 1 Recording starts
- 2 Lecture starts
- 3 Announcements
- 4 Revisit: Prob[candidate]-similarity curves
- 5 Revist d1,d2,p1,p2-sensitive family
- 6 Distances motivation
- 7 Distance/metric definition
- 8 Jaccard distance is a metric
- 9 Euclidean distance
- 10 Manhattan distance
- 11 Lp distances
- 12 L∞ distance
- 13 Lp distances exercise
- 14 Lp distances & unit balls
- 15 How to not use Lp distances
- 16 Mahalanobis distance
- 17 Cosine distance
- 18 Angular distance
- 19 Angular distance LSH
- 20 Lecture ends
