[scikit-learn] DBScan freezes my computer !!!

[Andrew Nystrom]

If you’re l2 norming your data, you’re making it live on the surface of a
hypershere. That surface will have a high density of points and may not
have areas of low density, in which case the entire surface could be
recognized as a single cluster if epsilon is high enough and min neighbors
is low enough. I’d suggest not using l2 norm with DBSCAN.
On Sat, May 12, 2018 at 7:27 AM Mauricio Reis <reismc at gmail.com> wrote:

> The DBScan "fit" method (in scikit-learn v0.19.1) is freezing my computer
> without any warning message!
>
> I am using WinPython 3.6.5 64 bit.
>
> The method works normally with the original data, but freezes when I use
> the normalized data (between 0 and 1).
>
> What should I do?
>
> Att.,
> Mauricio Reis
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