Evidential Editing K-Nearest Neighbor Classifier

DOI10.1007/978-3-319-20807-7_42zbMath1465.68224OpenAlexW2406693602MaRDI QIDQ3451206

Lianmeng Jiao, Thierry Denoeux, Quan Pan

Publication date: 10 November 2015

Published in: Lecture Notes in Computer Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-319-20807-7_42

zbMATH Keywords

theory of belief functionsdata classification\(K\)-nearest neighborevidential editing

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05) Reasoning under uncertainty in the context of artificial intelligence (68T37)

Related Items (3)

A new evidential \(K\)-nearest neighbor rule based on contextual discounting with partially supervised learning ⋮ Evidential instance selection for \(K\)-nearest neighbor classification of big data ⋮ Cautious classification based on belief functions theory and imprecise relabelling

Uses Software

• UCI-ml

Cites Work

• Unnamed Item
• Representing uncertainty on set-valued variables using belief functions
• Decision making in the TBM: the necessity of the pignistic transformation
• Conjunctive and disjunctive combination of belief functions induced by nondistinct bodies of evidence
• Discriminatory Analysis. Nonparametric Discrimination: Consistency Properties
• k-nearest-neighbor Bayes-risk estimation
• Asymptotic Properties of Nearest Neighbor Rules Using Edited Data
• Fuzzy sets
• Upper and Lower Probabilities Induced by a Multivalued Mapping

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