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mahalanobis.cc

00001 // Copyright (C) 2009 EPITA Research and Development Laboratory (LRDE)
00002 //
00003 // This file is part of Olena.
00004 //
00005 // Olena is free software: you can redistribute it and/or modify it under
00006 // the terms of the GNU General Public License as published by the Free
00007 // Software Foundation, version 2 of the License.
00008 //
00009 // Olena is distributed in the hope that it will be useful,
00010 // but WITHOUT ANY WARRANTY; without even the implied warranty of
00011 // MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU
00012 // General Public License for more details.
00013 //
00014 // You should have received a copy of the GNU General Public License
00015 // along with Olena.  If not, see <http://www.gnu.org/licenses/>.
00016 //
00017 // As a special exception, you may use this file as part of a free
00018 // software project without restriction.  Specifically, if other files
00019 // instantiate templates or use macros or inline functions from this
00020 // file, or you compile this file and link it with other files to produce
00021 // an executable, this file does not by itself cause the resulting
00022 // executable to be covered by the GNU General Public License.  This
00023 // exception does not however invalidate any other reasons why the
00024 // executable file might be covered by the GNU General Public License.
00025 
00026 #include <cstdlib>
00027 #include <mln/accu/stat/var.hh>
00028 #include <mln/fun/stat/mahalanobis.hh>
00029 
00030 
00031 float my_rand(int c)
00032 {
00033   return (1 + c) * float(std::rand()) / RAND_MAX;
00034 }
00035 
00036 
00037 int main()
00038 {
00039   using namespace mln;
00040 
00041   typedef algebra::vec<3,float> vec3f;
00042 
00043   enum { n = 1000 };
00044   vec3f v[n];
00045 
00046   for (int i = 0; i < n; ++i)
00047     {
00048       v[i][0] = my_rand(0);
00049       v[i][1] = my_rand(1);
00050       v[i][2] = my_rand(2);
00051     }
00052   
00053   accu::stat::var<vec3f> a;
00054   for (int i = 0; i < n; ++i)
00055     a.take(v[i]);
00056 
00057   fun::stat::mahalanobis<vec3f> f(a.variance(), a.mean());
00058   mln_assertion(f(a.mean()) == 0.f);
00059 
00060   float sum = 0.f;
00061   for (int i = 0; i < n; ++i)
00062     {
00063       float f_ = f(v[i]);
00064       sum += f_ * f_;
00065     }
00066   mln_assertion(std::abs(sum / n - 3.f) < 0.00002f);
00067 }

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