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: Li data model (6.3)


(a)

(b)

(c)

(d)

Figure 1: Projection view of the Li data model (6.3) with different rotations: (a) best view of the data, (b) SIR, (c) KPCA, and (d) KSIR. Gaussian kernel with scale of 0.05 is used.

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(a) The raw data (x1&x2).

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(b) PCA.


(b) KPCA.


(b) SIR.


(b) KSIR.

Figure 2: The 3D animations for the response y against the first 2 dimension reduction projections.

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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