Created
May 19, 2009 01:09
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| (use '(incanter core stats charts datasets)) | |
| ;; load the iris dataset | |
| (def iris (to-matrix (get-dataset :iris))) | |
| ;; run the pca on the first four columns only | |
| (def pca (principal-components (sel iris :cols (range 4)))) | |
| ;; extract the first two principal components | |
| (def pc1 (sel (:rotation pca) :cols 0)) | |
| (def pc2 (sel (:rotation pca) :cols 1)) | |
| ;; project the first four dimension of the iris data onto the first | |
| ;; two principal components | |
| (def x1 (mmult (sel iris :cols (range 4)) pc1)) | |
| (def x2 (mmult (sel iris :cols (range 4)) pc2)) | |
| ;; now plot the transformed data, coloring each species a different color | |
| (doto (scatter-plot (sel x1 :rows (range 50)) (sel x2 :rows (range 50)) | |
| :x-label "PC1" :y-label "PC2" :title "Iris PCA") | |
| (add-points (sel x1 :rows (range 50 100)) (sel x2 :rows (range 50 100))) | |
| (add-points (sel x1 :rows (range 100 150)) (sel x2 :rows (range 100 150))) | |
| view) |
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