Hi, Never use tree methods in high dimensional spaces unless you have n >> 2^dim data points. Use instead some fast matrix library and brute-force the nearest neighbours. Cheers, Oswin On 16.04.2014 14:32, Georgios Samaras wrote:
Thanks for the replies, now it is clearer. However, the minimum dimension I have in my datasets is 100 and I want to run NN with dimension 10000.
So, how I am going to initialize a point?
template <int CompileTimeDimension> void fill(point& tmp) { for(int j = CompileTimeDimension - 1 ; j >= 0 ; --j) { bg::set<CompileTimeDimension-->(tmp, 5); } }
Even I can see that the above code won't even compile. Writting manually bg::set<0>(tmp, 5), ..., bg::set<10000>(tmp, 5) does not really sound a good idea. So what should I do?
Maybe boost nearest's neighbors are meant to be used in higher dimensions?
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