Grassmann Clustering
Grassmann Clustering
Grassmann Clustering
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n(t)<br />
s(t) �<br />
A<br />
F. Theis<br />
x(t)<br />
II. Partitional <strong>Clustering</strong><br />
if A={ a1, ..., aT } constrained non-linear opt. problem<br />
minimize<br />
subject to<br />
with centroid locations C := {c1, . . . , ck }<br />
and partition matrix W := (wit)<br />
14<br />
Apr 6, 2006 :: Tübingen
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