Grassmann Clustering
Grassmann Clustering
Grassmann Clustering
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n(t)<br />
s(t) �<br />
A<br />
F. Theis<br />
•<br />
x(t)<br />
IV. <strong>Grassmann</strong> <strong>Clustering</strong><br />
Other applications<br />
Non-Gaussian Component Analysis<br />
• [Blanchard et al, 2005]<br />
• identify non-noise subspace via k=2 clustering<br />
• inter-subject biomedical data analysis<br />
• identify common subspaces in multivariate data<br />
sets<br />
• allows for inter-patient variability with keeping<br />
vector space selectivity<br />
• robustness of subspace ICA<br />
• extension of the ICA case<br />
39<br />
Apr 6, 2006 :: Tübingen
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