x=(x1,x2), a point in R^2.
My dataset (simulation), has at least 200 points.
For each point in the dataset, I want:
1- identify the nearest neighbor (nnid)
2- calculate the distance to that nearest neighbor (nnd)
How can I create nnid and nnd ?
list in 1/10, noobs
id x1 x2 nnid nnd
1 0.6231 0.6594 . .
2 0.0770 0.8497 . .
3 0.8031 0.5251 . .
4 0.4283 0.2249 . .
5 0.2084 0.1750 . .
6 0.8936 0.9179 . .
7 0.6168 0.7379 . .
8 0.5663 0.2539 . .
9 0.6465 0.5444 . .
10 0.7783 0.0047 . .
In particular, I used
net search distance nearest neighbor, or
Thank you.
BD.
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