The third one, like this.

So you are, in fact, a chord each of you an individual chord.

Each one has a key.

That is a custom proper to Japan.

You take several different layers of paper, each one containing its own little fluid system, and you separate them by pieces of,

You know, there's about 400 different parts of the brain which seem to have different functions.

Number 2 Caluclate the eigenvalues and eigenvectors of this gaussian.

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

What is the proper name for one of those?

Step 4 is to project the data onto the subspace of eigenvectors you chose.

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The eigenvectors happen to be 0.7064 and 0.7078 with an eigenvalue of 4.004, and the 2nd one is orthogonal with an eigenvalue much smaller.

One other thing you can do with such a thing is you can, because it's a pattern matching exercise, because there's unique fingerprint, we can actually scan through the entire genome and find other proteins that show a similar fingerprint.

Each of the brothers has a car.

Each one had a regular expression. We found that.

And because the way this material is produced, this Plasma is produced, each one has its own magnetosphere condition, each one has its gravitational condition, each one has its own magnetic field condition, each one has its own mass.

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But then there are a series of things

And here we have a mixture with the sum over the product of Ix and Iy in the off diagonal terms.

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If you watch closely (Applause)

The gaussian will look something like this.

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So now we can look throughout the brain.

So many emotions

Now this may look like a bunch of dots to you, but each one of these individual dots is actually a unique piece of the human genome that we spotted down on glass.

The problems are inherent in this system.

In this gaussian this would be the dominant eigenvector, and this would be the 2nd eigenvector over here.

Garrett Hardin used it to talk about overpopulation in the late 1960s.

If we apply eigenvalue decomposition to this matrix over here, we get 2 eigenvalues.

Feathers are peculiar to birds.