search for: rann

...need a spatial tree of some sort (kd,r,bd..), or a function that computes radius-based search on spatial data, i.e. given a radius eps finds ALL the points which fall in the corresponding hypersphere centered on the current examined point. Is there a package with this features? So far I found RANN and other packages whose name I can't remember (I don't have them with me a.t.m.), and they all seemed to offer a nearest-neighbour search, which asks for an upper limit to the number of points to be found, but no direct access to the spatial tree they used . The algorithms they provide...

...re may be a faster and more elegant way to do this in R. In Python (Numeric) the same can be achieved with ix=Numeric.searchsorted(X[1:-1],Xi), which is quite compact. So, does anyone know of a corresponding R call that can achive the same? Sincerely, Halldór -- Halldór Björnsson Deildarstj. Ranns. & Þróun Veðursvið Veðurstofu Íslands Halldór Bjornsson Weatherservice R & D Icelandic Met. Office [[alternative HTML version deleted]]

I am looking for an efficient way to find near neighbors... More specifically... I have two sets of points: A & B and I want to find points in set B which are closer to set A than some cutoff (or n-closest) I will appreciate very much any pointers... Ryszard -------------------------------------------------------------------------- Confidentiality Notice: This message is private and may

Hi I have a table with ID (1 to 183) and Location (144 to -22). My problem is that I want to select the 10 ID's that are closest in Location to ID 1, ID 2 and so on. Also, some ID have the same Location. Say, if 11 ID's are closest to ID 100 I want to randomly choose one of the ID's to select 10 ID's total. Thank you -- View this message in context:

...three software. To summarize: the forthcoming P4 1.70 MHz will be my next machine for runing R. Thanks again. Jason Liao ox program #include <oxstd.h> #include <oxprob.h> #import <maximize> multi_normal(const mu, const var_root) { decl ran; ran = rann(4, 1); ran = var_root*ran; ran = ran+mu; return ran; } main() { decl N=1000000; decl sum = zeros(4, 4); decl i, ran; print(time()); decl mu = zeros(4,1); decl var_root = unit(4); for(i=0; i<N; i++) { ran = multi_normal(mu, var...

Dear All, The institute I work for is organizing an internal workshop for High Performance Computing (HPC). I am planning to attend it and talk a bit about fluid dynamics, but there is also quite a lot of interest devoted to data post-processing and management of huge data sets. A lot of people are interested in image processing/pattern recognition and statistic applied to geography/ecology, but I

I have successfully encoded a wav file in android using speex(ndk). But when i try to decode it back, the file size keep on increasing to a very large size. The recorded audio file consists of sample rate - 8000 , 16 BIT, MONO. Why the decoder gives such a large size wav file? -------------- next part -------------- An HTML attachment was scrubbed... URL: