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