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List of Figures

  1. Linear discriminant analysis
  2. The difference between PCA and LDA
  3. The consequences of the constant-sum constraint
  4. Spurious correlation of ratios
  5. The dangers of using ``traditional'' statistics on the simplex
  6. Mapping compositional data from $ \Delta _2$ to R2
  7. Linear discriminant analysis done the wrong way
  8. Linear discriminant analysis done the right way
  9. Results of the linear discriminant analysis mapped back to the simplex
  10. Geographical locations of the training data
  11. Linear discriminant analysis of the Ti-V system of Shervais (1982)
  12. Quadratic discriminant analysis of the Ti-V system
  13. Linear discriminant analysis of the Ti-Zr system of Pearce and Cann (1973)
  14. Quadratic discriminant analysis of the Ti-Zr system
  15. Linear discriminant analysis of the Ti-Zr-Y system of Pearce and Cann (1973)
  16. Quadratic discriminant analysis of the Ti-Zr-Y system
  17. Linear discriminant analysis of the Zr-Y-Nb system of Meschede (1986)
  18. Quadratic discriminant analysis of the Zr-Y-Nb system
  19. Linear discriminant analysis of the Th-Ta-Hf system of Wood (1980)
  20. Quadratic discriminant analysis of the Th-Ta-Hf system
  21. Linear discriminant analysis using Ti, Zr, Y and Sr
  22. Linear discriminant analysis using major element data
  23. Exhaustive exploration of all bivariate linear discriminant analyses using only major elements
  24. Same as Figure 23, but for quadratic discriminant analysis
  25. Matrices showing the performance of all possible bivariate discriminant analyses using combinations of 45 elements
  26. Same as Figure 25, but for quadratic discriminant analysis
  27. Performance analysis of all possible ternary discriminant analyses using TiO$ _2$ and other major element oxides
  28. Same as Figure 27, but using quadratic discriminant analysis
  29. Performance analysis of all possible ternary discriminant analyses using Ti and other elements
  30. Same as Figure 29, but using quadratic discriminant analysis
  31. Best ternary linear discriminant analysis (using Si, Ti, and Sr)
  32. Linear discriminant analysis using Eu, Lu, and Sr
  33. Linear discriminant analysis using Ti, V and Sc
  34. Quadratic discriminant analysis using Na, Nb and Sr
  35. Quadratic discriminant analysis using Ti, V and Sm
  36. Illustration of the bias-variance tradeoff in a regression context
  37. The test data plotted on various versions of the Ti-V diagram
  38. The test data plotted on the Ti-Zr diagram
  39. The test data plotted on the Ti-Zr-Y diagram
  40. The test data plotted on the Nb-Zr-Y diagram
  41. The test data plotted on the Th-Ta-Hf diagram
  42. The test data plotted on the Si-Ti-Sr diagram
  43. The test data plotted on the Eu-Lu-Sr diagram
  44. The test data plotted on the Ti-V-Sc diagram
  45. The test data plotted on the Na-Nb-Sr diagram
  46. The test data plotted on the Ti-V-Sm diagram



Pieter Vermeesch 2005-11-21