Lesson plan
Overlap coefficient
The overlap coefficient, or Szymkiewicz–Simpson coefficient, is a similarity measure that measures the overlap between two finite sets. It is related to the Jaccard index and is defined as the size of the intersection divided by the size of the smaller of two sets: : \operatorname{overlap}(A,B) = \frac{| A \cap B | }{\min(|A|,|B|)} Note that 0 \leq \operatorname{overlap}(A,B) \leq 1 . If set A is a subset of B or the converse, then the overlap coefficient is equal to 1.
Article summary
The overlap coefficient, or Szymkiewicz–Simpson coefficient, is a similarity measure that measures the overlap between two finite sets. It is related to the Jaccard index and is defined as the size of the intersection divided by the size of the smaller of two sets: : \operatorname{overlap}(A,B) = \frac{| A \cap B | }{\min(|A|,|B|)} Note that 0 \leq \operatorname{overlap}(A,B) \leq 1 . If set A is a subset of B or the converse, then the overlap coefficient is equal to 1.
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Discussion questions
- Summarise the article in your own words. Which single claim would you verify first, and why?
- Which claim in this article is most likely to be revised as the sources update? How would you check its current status?
- If two sources disagreed about one of these facts, what would you need in order to trust one over the other?
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