A membership probability-based undersampling algorithm for imbalanced data

DOI10.1007/s00357-019-09359-9OpenAlexW3000465368WikidataQ126358489 ScholiaQ126358489MaRDI QIDQ2038205

You-Jin Park, Sun Hur, Gilseung Ahn

Publication date: 9 July 2021

Published in: Journal of Classification (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00357-019-09359-9

zbMATH Keywords

information lossundersamplingmembership probabilityimbalanced class problem

Mathematics Subject Classification ID

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

Uses Software

• C4.5
• catdata
• ACOSampling

Cites Work

• Unnamed Item
• Initializing \(K\)-means batch clustering: A critical evaluation of several techniques
• Imbalanced data classification using second-order cone programming support vector machines
• Regression for Categorical Data
• Asymptotic Properties of Nearest Neighbor Rules Using Edited Data

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