nbrs =
NearestNeighbors(n_neighbors=10,radius=100.0,metric='euclidean',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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