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Groups > comp.lang.python > #97953
| From | Fabien <fabien.maussion@gmail.com> |
|---|---|
| Newsgroups | comp.lang.python |
| Subject | Re: Nearest neighbours of points |
| Date | 2015-10-26 03:25 +0100 |
| Organization | Aioe.org NNTP Server |
| Message-ID | <n0k2u1$gqb$2@speranza.aioe.org> (permalink) |
| References | <81947104-f6dd-48b3-ba7b-f03b0c5b6f39@googlegroups.com> |
On 10/24/2015 10:05 PM, Poul Riis wrote: > With scipy.spatial.distance.pdist I don't really understand your problem. With scipy.spatial.distance.pdist you'll have all you need: From the docs: Returns: Returns a condensed distance matrix Y. For each i and j (where i<j<n), the metric dist(u=X[i], v=X[j]) is computed and stored in entry ij. So you have the distances, the indexes of the points so you also have the value of these points...
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Nearest neighbours of points Poul Riis <priisdk@gmail.com> - 2015-10-24 13:05 -0700
Re: Nearest neighbours of points Christian Gollwitzer <auriocus@gmx.de> - 2015-10-24 22:45 +0200
Re: Nearest neighbours of points Poul Riis <priisdk@gmail.com> - 2015-10-24 15:44 -0700
Re: Nearest neighbours of points Christian Gollwitzer <auriocus@gmx.de> - 2015-10-25 09:55 +0100
Re: Nearest neighbours of points Poul Riis <priisdk@gmail.com> - 2015-10-25 05:00 -0700
Re: Nearest neighbours of points Peter Pearson <pkpearson@nowhere.invalid> - 2015-10-25 17:01 +0000
Re: Nearest neighbours of points Bartc <bc@freeuk.com> - 2015-10-25 12:36 +0000
Re: Nearest neighbours of points Fabien <fabien.maussion@gmail.com> - 2015-10-26 03:25 +0100
Re: Nearest neighbours of points Tom P <werotizy@freent.dd> - 2015-10-31 22:28 +0100
Re: Nearest neighbours of points Terry Reedy <tjreedy@udel.edu> - 2015-10-31 23:00 -0400
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