Grassmann Clustering
Grassmann Clustering
Grassmann Clustering
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n(t)<br />
s(t) �<br />
A<br />
F. Theis<br />
x(t)<br />
IV. <strong>Grassmann</strong> <strong>Clustering</strong><br />
<strong>Grassmann</strong> <strong>Clustering</strong><br />
• goal: clustering in Gn,p<br />
• for this necessary: definition of a metric<br />
• different notions possible<br />
• may be derived from the geodesic metric induced<br />
by the natural Riemannian structure of Gn,p<br />
[Edelman et al 1999]<br />
• here: computationally simple projection F-norm<br />
with Frobenius norm<br />
25<br />
Apr 6, 2006 :: Tübingen
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