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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 />

minimize this!<br />

batch k-means<br />

cluster assignment: for each at<br />

determine an index i(t) such that<br />

cluster update: within each cluster<br />

determine the centroid ci by minimizing<br />

may be<br />

difficult<br />

15<br />

Apr 6, 2006 :: Tübingen

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