Tuesday, November 1, 2011

Unsupervised learning 18-30

What he didn't say about the eigenvectors is that they are pulled from the covariance matrix that describes the shape of the gaussian.

He just dropped the phrase "principle component analysis."  That's just the name for finding that largest eigenvector.

I notice he isn't telling us how to map the data down to the smaller space once we find it.  Maybe that will come later?  Guess not.

I honestly had no idea about spectral clustering.  That was pretty cool.

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