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Jaccard index

The Jaccard index is a statistic used for gauging the similarity and diversity of sample sets. It is defined in general taking the ratio of two sizes (areas or volumes), the intersection size divided by the union size, also called intersection over union (IoU).

Applications, Overview & Similarity of asymmetric binary attributes

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Overview

Object detectionComputer visionStatisticSimilarityDiversity
23 related topics

Similarity of asymmetric binary attributes

BinaryStatistical inferenceStatistically significantMultinomial distributionBootstrapping
9 related topics

Tanimoto similarity and distance

Computer ProgramBitmapsBitwiseAndOr
7 related topics

Probability Jaccard similarity and distance

Indicator functionProbability distributionsSørensen–Dice coefficientPseudo-metricSimplices
6 related topics

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Overview

Similarity of asymmetric binary attributes

Weighted Jaccard similarity and distance

Probability Jaccard similarity and distance

Tanimoto similarity and distance

Jaccard index in binary classification confusion matrices

Application to computer science and graph theory

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Jaccard index

Nodes57
Edges56
Triples57
Avg. degree1.96
Density0.035088
Components1

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Jaccard index

Top relations

related to Optimality of the Probability Jaccard Index · 11
Jaccard index → Consider, For, However, If, In, One, Pr, Probability Jaccard Index, That, Total Variation, TV
related to Difference with the simple matching index (SMC) · 8
Jaccard index → For, In, Jaccard, SMC, The, This, Thus, When
related to Application to computer science and graph theory · 6
Jaccard index → Given, In, Jaccard, Link, The, This
related to Jaccard index in binary classification confusion matrices · 5
Jaccard index → FN, FP, In, Jaccard, TP
related to overview · 5
Jaccard index → By, If, In, The, The Jaccard
related to Probability Jaccard similarity and distance · 5
Jaccard index → However, If, It, Jaccard, The
see also · 5
Jaccard index → Dice, Jaccard, Overlap, Sørensen, Tversky
is a · 4
Jaccard index → optimal way to align these random variables.For any sampling method G, overlap metric that can be defined with the elements in a confusion matrix, statistic used for gauging the similarity and diversity of sample sets, useful measure of the overlap that A and B share with their attributes
related to Similarity of asymmetric binary attributes · 4
Jaccard index → Each, Given, Jaccard, The

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Important terminology

jaccard index similarity displaystyle distance two sets binary probability used tanimoto metric intersection set ratio attributes measures function vectors smc

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
Jaccard indexis astatistic used for gauging the similarity and diversity of sample sets0.90text
Jaccard indexis auseful measure of the overlap that A and B share with their attributes0.90text
Jaccard indexis aoptimal way to align these random variables.For any sampling method G0.90text
Jaccard indexis aoverlap metric that can be defined with the elements in a confusion matrix0.90text
the simple matching coefficient may be preferred because they count both shared presencesinstance ofmeasures0.80text
shared absencesinstance ofmeasures0.80text
MinHashinginstance oftechniques0.80text
locality sensitive hashing are used to approximate the index using compact signaturesinstance oftechniques0.80text
Jaccard indexrelated to Application to computer science and graph theoryIn0.60section
Jaccard indexrelated to Application to computer science and graph theoryGiven0.60section
Jaccard indexrelated to Application to computer science and graph theoryThis0.60section
Jaccard indexrelated to Application to computer science and graph theoryLink0.60section

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