Penalized Fisher discriminant analysis and its application to image-based morphometry

  title={Penalized Fisher discriminant analysis and its application to image-based morphometry},
  author={Wei Wang and Yilin Mo and John A. Ozolek and Gustavo K. Rohde},
  journal={Pattern recognition letters},
  volume={32 15},
Image-based morphometry is an important area of pattern recognition research, with numerous applications in science and technology (including biology and medicine). Fisher Linear Discriminant Analysis (FLDA) techniques are often employed to elucidate and visualize important information that discriminates between two or more populations. We demonstrate that the direct application of FLDA can lead to undesirable errors in characterizing such information and that the reason for such errors is not… CONTINUE READING
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