Fisher's idea: the best direction for separating classes
PCA picks the direction of most spread and gets 54.5% accuracy on this data. Fisher looks at the labels and gets 97.8%. The two directions are almost perpendicular.
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Sources
- Fisher, R. A. 1936 · The Use of Multiple Measurements in Taxonomic Problems · Annals of Eugenics, 7(2)
- Bishop, C. M. 2006 · Pattern Recognition and Machine Learning, Bölüm 4.1.4 · Springer
- Hastie, Tibshirani, Friedman 2009 · The Elements of Statistical Learning, Bölüm 4.3 · Springer
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