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The effect of imbalanced data sets on LDA: a theoretical and empirical analysis

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Publication:854228
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DOI10.1016/J.PATCOG.2006.01.009zbMath1118.68129OpenAlexW2164296439MaRDI QIDQ854228

Jigang Xie, Zhengding Qiu

Publication date: 7 December 2006

Published in: Pattern Recognition (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.patcog.2006.01.009


zbMATH Keywords

random samplinglinear discriminant analysis (LDA)imbalanced data setssmoteTomek links


Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)


Related Items (6)

Matrix sketching for supervised classification with imbalanced classes ⋮ RHSBoost: improving classification performance in imbalance data ⋮ Inductive Representation Learning on Dynamic Stock Co-Movement Graphs for Stock Predictions ⋮ Machine learning approach to automated quality identification of human induced pluripotent stem cell colony images ⋮ Do unbalanced data have a negative effect on LDA? ⋮ An asymmetric classifier based on partial least squares


Uses Software

  • UCI-ml
  • SMOTE



Cites Work

  • Two Modifications of CNN
  • Unnamed Item
  • Unnamed Item




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