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Document similarity scores across a corpus tend to cluster bimodally near identical and near unrelated, rather than spreading evenly.
Drawn from what Nelson Elhage said
What Nelson Elhage actually said
Word for word, with the source under each one. They did not write this page.
Software engineer who writes the blog Made of Bugs about performance
I suspect - but haven't verified - that in many corpora, we will encounter fairly bimodal Jaccard values - two clusters, near 1 and 0.
Where this was said
↗Finding near-duplicates with Jaccard similarity and MinHashblog.nelhage.com
Added to korrents 3 Jul 2024 · How quotes work · Something wrong? Tell us
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Related korrents
Our reading — they may agree, disagree or merely touch the same thing. Closest first: a shared subject counts for most, then how near the wording is.