Hi Eli!

I wrote:
[...]
> But back to Eli's question: If the data are sufficiently nice, then it
> may be worth a try to join each data point with its two nearest
> neighbours. Perhaps some hand work will be needed to adjust things,
> but I don't think that there is any algorithm that is as good as the
> human eye.

Hmph. I guess this was too simplistic. In particular, if your data
points lie very dense, the "two nearest neighbours" approach would
miserably fail.

However, the more elaborate approach (have discs of radius r around
your data points and choose r so that the overlapping discs are
topologically a circle) might be worth a try. The notion for it is
Rips complex, see http://en.wikipedia.org/wiki/Rips_complex

Best regards,
Simon

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