http://books.nips.cc/papers/files/nips17/2004_0572.pdf

This isn't exactly AGI, but I know that may AGI designs contain
algorithms for automatically clustering multi dimensional data points.

In this paper they take pretty much standard spectral clustering
but add an extra parameters so that each point has its own scaling
factor that depends on how close its neighbours are.

With this relatively simple change it does some pretty amazing
clustering, such as, concentric circles and one example where
there are a few tight blobs of points and then one really big
spread out cluster that covers the whole space.  It gets the
intuitively correct answer in each case.

Figure 3 has some nice examples of it working.

Cheers
Shane


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