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1 results

  • 12 - Discriminant Analysis

  • from Part III - Classification Methods
  • Darius M. Dziuda, Central Connecticut State University
  • Book:
    Multivariate Biomarker Discovery
    Published online:
    30 May 2024
    Print publication:
    06 June 2024, pp 174-190

  • Summary

    Chapter 12 presents discriminant analysis – a classical (and powerful) supervised learning approach for classification. Discussed are Fisher’s discriminant analysis, as well as Gaussian linear, quadratic, and regularized discriminant analysis. The chapter concludes with a discussion of partial least squares discriminant analysis, which is still popular in some application areas, even if its application to high-dimensional data is likely to result in solutions that are suboptimal in terms of predictive abilities and interpretability (alternative approaches are recommended).