[scikit-learn] how to make result less number of group with NearestNeighbors?

[Joel Nothman]

Given your related post on the issue tracker, I think you're trying to
perform clustering. Use DBSCAN, which is a standard approach to clustering
based on neighborhoods within radius.



On 10 September 2017 at 14:44, Martin Lee <tesleft at hotmail.com> wrote:

>  nbrs = NearestNeighbors(n_neighbors=10,radius=100.0,metric='euclide
> an',algorithm='ball_tree').fit(testing1)
>     distances, indices = nbrs.kneighbors(testing1)
>
> just expect when each point distance less than 100 then group into one
> group
>
>
> Martin
>
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