Grassmann Clustering
Grassmann Clustering
Grassmann Clustering
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n(t)<br />
s(t) �<br />
A<br />
F. Theis<br />
x(t)<br />
Conclusions<br />
• showed<br />
• extension of k-means to <strong>Grassmann</strong> manifold<br />
• first results of nonlinear generalization via kernels<br />
• open<br />
• study applications in detail - new apps?<br />
• preimage problem in submanifold k-means<br />
• diff. subspace clustering/classification<br />
• acknowledgements<br />
• Peter Gruber & Harold Gutch<br />
• Motoaki Kawanabe and...<br />
47<br />
Apr 6, 2006 :: Tübingen
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