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Jaccard concept

DefinitionThe size of the intersection of two sets over the size of their union, between zero and one, zero exactly when the sets are disjoint, which discards joint absence. Chapter 0 section 0.6 and chapter 3.
ExampleSets {a, b, c} and {b, c, d} share 2 of 4 elements, a Jaccard coefficient of 0.5.
BookData Mining as Observation, draft 0.2, commit f3914f0; entry id jaccard, kind concept.
Statusno ledger row names this entry. Corrections: none recorded.
Defining equationnone
Assumptions and scope
  • The size of the intersection of two sets over the size of their union, between zero and one, one for a nonempty set against itself, symmetric, and zero exactly when the sets are disjoint. A subset’s coefficient is its share of the larger set.
  • It reads nothing outside the union, so its distance lives on the quotient that discards joint absence, which is the right quotient for a consumer that reads presence and the wrong one for a consumer that reads counts.
Prior artnone recorded
Evidencelean/DataMiningAsObservation/Jaccard.lean
Reviewednot yet reviewed; generated 2026-09-10 from records at the commits on the provenance page.
ABA ∩ B|A ∩ B| / |A ∪ B|
Intersection over union.

Equation

none

Conditions

Conditions are curated in entries.toml rather than read from a record.

Ledger

none

First stated

Jaccard, the distribution of the flora in the alpine zone, 1912, as chapter 0 section 0.6 and chapter 3 section 3.1 of Data Mining as Observation read it.

Measurements

none

Failures and corrections

none

Invariance envelope

none declared

Machine checked

lean/DataMiningAsObservation/Jaccard.lean, theorems jaccard_nonneg, jaccard_le_one, jaccard_self, jaccard_comm, jaccard_eq_zero_iff, jaccard_subset, at observation-data-mining f3914f0; what the check covers is stated in the book’s appendix C.

Used in

Data Mining as Observation chapters 0, 3.

Related

cosine; quotient; bag of words; Euclidean distance; itemset.

See also

Book equations stated beside the entry’s terms, not defining it: 0.1, 3.1.

Sources-table rows that share a record with the entry without naming it: chapter 3 section 3.2.

Status

Generated 2026-09-10 by encyclopedia/generate.py; book at observation-data-mining f3914f0; the commit of every record is listed in the encyclopedia’s provenance.

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