Calibrated model-based evidential clustering using bootstrapping

DOI10.1016/j.ins.2020.04.014zbMath1459.68168arXiv1912.06137OpenAlexW3016323622MaRDI QIDQ2023225

Thierry Denoeux

Publication date: 3 May 2021

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1912.06137

zbMATH Keywords

Dempster-Shafer theoryresamplingunsupervised learningmixture modelsbelief functionsevidence theory

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)

NN-EVCLUS: neural network-based evidential clustering ⋮ Belief functions and rough sets: survey and new insights ⋮ Evidential prototype-based clustering based on transfer learning

Uses Software

• evclust
• bootstrap
• EMMIXskew
• bootlib

Cites Work

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