In addition, it's multi spectral.

Identical in shape, size, spectral content.

We now talk about spectral clustering.

Taking form of a giant spectral dog.

Realtime audio processor based on frequency spectral manipulation

For instance, you see the spectral line of the gold is the only spectral line in the spectrum of the Sun.

This is called affinity based clustering or spectral clustering.

Spectral partitioning, L1 minimization. This comes from the optimization community.

They'll need a spectral micrometer to see it's a fabrication.

The fundamental idea of spectral clustering is to cluster by affinity.

So spectral clustering gets annotation of affinity to make clustering happen.

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So let me look at the simple example for spectral clustering that would also work for K means or EM, but they'll be useful to illustrate spectral clustering.

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And it turns out once again that spectral sensitivity is very important here.

So in summary, spectral clustering builds an affinity matrix of the data points.

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