Grassmann Clustering
Grassmann Clustering
Grassmann Clustering
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n(t)<br />
s(t) �<br />
A<br />
F. Theis<br />
x(t)<br />
dimension reduction: via PCA to only 2 dimensions<br />
3<br />
2.5<br />
2<br />
1.5<br />
1<br />
0.5<br />
0<br />
−0.5<br />
−1<br />
I. Introduction<br />
−1.5<br />
−1 0 1 2 3 4 5<br />
Apr 6, 2006 :: Tübingen<br />
8