Figure 1: The projections for the wine data onto the estimated first two-
dimensional subspace. The symbols represent the three classes. Gaussian
kernel with scale of 0.05 is used.
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(a) PCA.
(b) SIR.
(c) KPCA.
(d) KSIR.
Figure 2: The 3D animation for the wine data onto the first three dimension
reduction projections. The symbols represent the three classes.
Gaussian kernel with scale of 0.05 is used.
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Wu, H. M.* (2008). Kernel Sliced Inverse
Regression with Applications to Classification, Journal of
Computational and Graphical Statistics. 17(3), 590-610.
http://www.hmwu.idv.tw/KSIR
Last updated:
2009/04/27