Oddness/evenness-based classifiers for Boolean or numerical data

DOI10.1016/j.ijar.2016.12.002zbMath1410.62101OpenAlexW2560152040MaRDI QIDQ511634

Henri Prade, Myriam Bounhas, Gilles Richard

Publication date: 22 February 2017

Published in: International Journal of Approximate Reasoning (Search for Journal in Brave)

Full work available at URL: https://oatao.univ-toulouse.fr/24811/19/Bounhas_24811.pdf

zbMATH Keywords

classificationnumerical data\(k\)-nearest neighbors methodBoolean datalogical proportion

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30)

Related Items (3)

Analogy-based classifiers for nominal or numerical data ⋮ Logical proportions-related classification methods beyond analogy ⋮ On Different Ways to be (dis)similar to Elements in a Set. Boolean Analysis and Graded Extension

Uses Software

• UCI-ml

Cites Work

• From analogical proportion to logical proportions
• Cross-conformal predictors
• A New View of Conformity and Its Application to Classification
• Handling Analogical Proportions in Classical Logic and Fuzzy Logics Settings
• Analogy and Formal Languages
• On Different Ways to be (dis)similar to Elements in a Set. Boolean Analysis and Graded Extension
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