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2008 Mar 12
0
R code for kernel density using kd-tree, looking for speed up
...e times speed up..
Thanks.
alsoRun
###############################
#points are the d by n matrix of the source points
get.diameter = function(box.lower.limit, box.upper.limit)
{
temp = box.lower.limit - box.upper.limit
sqrt(sum(temp*temp))/2
}
########################################
Kconst = function(d, n, bw)
{
con = gamma(d/2+1)/pi^(d/2);
con = con/( (2-2*d)/(d+2) + 2*d*(d+7)/(d+4)/(d+6));
con/n/bw^d;
}
###################################################################
## create an empty node
newtree = function(){ list(center=NULL, diameter=NULL, left=NULL, right=NULL) }...