Erm, please excuse yahoo eating my link, but the link should have been:
https://github.com/locklin/j-nearest-neighbor

More to come, hopefully fairly soon.

*********previous message*******

I've finally got a kd-tree library I'm comfortable with wired up to J. It links 
to v1.8.4 of libflann, which can be found here:
http://www.cs.ubc.ca/research/flann/

I can provide a linux dll if you need one, but you should probably build your 
own. My stubs can be found here:

locklin/j-nearest-neighbor [THANKS FOR NOTHING, YAHOO EMAIL PREVIEW THINGEE]

View on github.com Preview by Yahoo  
  

I may 
eventually  add a souped up version of libANN + stubs I cooked up that 
is even faster on problems where one doesn't need the explicit distance 
calculation.

If you know what spatial trees are good for 
(calculating near neighbors, building vector quantizers, radial basis 
functions and generally being machine learningly awesome), perhaps this 
library can be of use. Once I realized how cool spatial trees are, I 
ended up using them everywhere.


I'll eventually be publishing
 some selected tools which use this to do machine learning/pattern 
analysis as well, probably in a different package. Release schedule on 
that depends on the consulting breaks.
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