Kernel Sliced Inverse Regression
with Applications to Classification
Han-Ming Wu
Department of Mathematics
Tamkang University
Taipei County 25137, Taiwan, R.O.C.
hmwu@mail.tku.edu.tw  
http://www.hmwu.idv.tw 

Examples: wine data


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