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: pen digits data


Figure 1: The projections for the pendigit data onto the estimated first two-dimensional subspace. The colors represent the ten classes. The 200 reduced features are used by stratified random subset for performing KPCA and KSIR with Gaussian kernel of scale 0.05.

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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